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1
Ben-Ayed, Omar. "Parcel distribution network design problem". Operational Research 13, n. 2 (3 agosto 2011): 211–32. http://dx.doi.org/10.1007/s12351-011-0118-2.
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Sangroula, Uchit, Kuk-Heon Han, Kang-Min Koo, Kapil Gnawali e Kyung-Taek Yum. "Optimization of Water Distribution Networks Using Genetic Algorithm Based SOP–WDN Program". Water 14, n. 6 (9 marzo 2022): 851. http://dx.doi.org/10.3390/w14060851.
Abstract (sommario):
Water distribution networks are vital hydraulic infrastructures, essential for providing consumers with sufficient water of appropriate quality. The cost of construction, operation, and maintenance of such networks is extremely large. The problem of optimization of a water distribution network is governed by the type of water distribution network and the size of pipelines placed in the distribution network. This problem of optimal diameter allocation of pipes in a distribution network has been heavily researched over the past few decades. This study describes the development of an algorithm, ‘Smart Optimization Program for Water Distribution Networks’ (SOP–WDN), which applies genetic algorithm to the problem of the least-cost design of water distribution networks. SOP–WDN demonstrates the application of an evolutionary optimization technique, i.e., genetic algorithm, linked with a hydraulic simulation solver EPANET, for the optimal design of water distribution networks. The developed algorithm was applied to three benchmark water distribution network optimization problems and produced consistently good results. SOP–WDN can be utilized as a tool for guiding engineers during the design and rehabilitation of water distribution pipelines.
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Ayed, Omar Ben. "Hierarchical parcel distribution facility ground network design problem". International Journal of Logistics Economics and Globalisation 2, n. 3 (2010): 250. http://dx.doi.org/10.1504/ijleg.2010.036303.
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Melo Brentan, Bruno, Gustavo Meirelles Lima, Antonio Carlos Zuffo e Edevar Luvizotto Junior. "Dimensionamento de redes de distribuição de água por meio de análise multicriterial". Revista DAE 221, n. 68 (2019): 118–30. http://dx.doi.org/10.36659/dae.2020.010.
Abstract (sommario):
O dimensionamento de redes de distribuição de água (RDAs) é feito para que as restrições operacionais de velo- cidade e pressão se mantenham dentro de limites que garantam a eficiência operacional. Assim, buscam-se as tubulações de menor custo para que essas condições sejam satisfeitas. Entretanto, ao adotar essa prática, ou- tras características da rede podem ser afetadas negativamente, como sua resiliência e capacidade de expansão. Dessa forma, este trabalho apresenta um estudo de caso em que a análise multicriterial é utilizada para realizar o dimensionamento de uma RDA. Primeiramente, um mapa cognitivo é feito para identificar os principais cri- térios a serem considerados na solução do problema. Em seguida, o método Delphi é usado em conjunto com o Analytic Hierarchy Process (AHP) para determinar os pesos relativos de cada critério. Por fim, três diferentes métodos de análise multicritérios são utilizados para a solução do problema: AHP, Electre e Promethee. Palavras-chave: Rede de distribuição. Otimização. Análise multicritério. Abstract The design of water distribution networks (WDNs) is made to match velocity and pressure constraints that guaran- tee operational efficiency. Thus, pipes with lower cost are selected to attend these conditions. However, this proce- dure can harm other characteristics of the network, as for example its resilience and expansion capacity. Therefore, this paper presents a case study in which the multicriterial analysis is used to design a WDN. First, a cognitive map is built to identify the main criteria to be considered during the design process. Then, the Delphi method is used jointly with the Analytic Hierarchy Process (AHP) to define the relative weights of each criteria. Finally, three different methods for multicriterial analysis are used to solve the problem: AHP, Electre and Promethee. Keywords: Water distribution network. Optimization. Multicriterial analysis.
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Miranda, Pablo A., e Rodrigo A. Garrido. "Inventory service-level optimization within distribution network design problem". International Journal of Production Economics 122, n. 1 (novembre 2009): 276–85. http://dx.doi.org/10.1016/j.ijpe.2009.06.010.
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McClymont, Kent, Ed Keedwell, Dragan Savić e Mark Randall-Smith. "A general multi-objective hyper-heuristic for water distribution network design with discolouration risk". Journal of Hydroinformatics 15, n. 3 (25 ottobre 2012): 700–716. http://dx.doi.org/10.2166/hydro.2012.022.
Abstract (sommario):
The optimisation of water distribution networks (WDNs) by evolutionary algorithms has gained much coverage in the literature since it was first proposed in the early 1990s. Despite being well studied, the problem and objectives continue to evolve as demands on water companies change. Motivated by the increased focus on reducing the risk of discolouration, this study examines a three objective version of the WDN design problem which takes into account cost, head excess and discolouration risk. Using this formulation, this paper presents a method for producing optimised network designs aimed at reducing discolouration risk in the network design phase and thus reducing the associated long-term maintenance and operational burdens of the system. This paper discusses the use of a discolouration risk model and, using this model, the optimisation of network design, specifically pipe diameters, to produce a range of high quality self-cleaning networks. The network designs are optimised using the Markov-chain hyper-heuristic (MCHH), a new multi-objective online selective hyper-heuristic. The MCHH is incorporated in to the known NSGA-II and SPEA2 and supplied with a range of heuristics tailored for use on the WDN design problem. The results demonstrate an improvement in performance obtained over the original algorithms.
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Wang, Yang, Jin Xin Cao, Ri Dong Wang e Xia Xi Li. "Research on Uncertain Network Design Problem". Applied Mechanics and Materials 505-506 (gennaio 2014): 613–18. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.613.
Abstract (sommario):
In this study, a kind of uncertain network design problem, network design problem under uncertain construction cost, is researched.The discrete network design problem under uncertain construction costs deals with the selection of links to be added to the existing network, so as to minimize the total travel costs in the network. It is assumed that the value of the demand between each pair of origin and destination is a constant and the construction costs of each potential link addition follow a certain stochastic distribution. In this paper, a bi-level and stochastic programming model for the discrete network design problem is proposed. The construction costs of potential links are assumed as random variables and mutually independent with each other in this model. The upper-level model is a chance constrain model with the objective function of minimizing the total travel costs in the network, and the lower-level model is a user equilibrium model. The stochastic model is then transformed into a deterministic one. A branch-and-bound solution algorithm is designed to solve the deterministic model in an efficient way. At last, a computational experiment is conducted to illustrate the effectiveness and efficiency of the approach proposed in this paper. The results show that the stochastic model is more flexible and practical compared with the deterministic one.
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Marmolejo, J. A., R. Rodríguez, O. Cruz-Mejia e J. Saucedo. "Design of a Distribution Network Using Primal-Dual Decomposition". Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/7851625.
Abstract (sommario):
A method to solve the design of a distribution network for bottled drinks company is introduced. The distribution network proposed includes three stages: manufacturing centers, consolidation centers using cross-docking, and distribution centers. The problem is formulated using a mixed-integer programming model in the deterministic and single period contexts. Because the problem considers several elements in each stage, a direct solution is very complicated. For medium-to-large instances the problem falls into large scale. Based on that, a primal-dual decomposition known as cross decomposition is proposed in this paper. This approach allows exploring simultaneously the primal and dual subproblems of the original problem. A comparison of the direct solution with a mixed-integer lineal programming solver versus the cross decomposition is shown for several randomly generated instances. Results show the good performance of the method proposed.
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Blesa, Joaquim, Fatiha Nejjari e Ramon Sarrate. "Robust sensor placement for leak location: analysis and design". Journal of Hydroinformatics 18, n. 1 (21 gennaio 2015): 136–48. http://dx.doi.org/10.2166/hydro.2015.021.
Abstract (sommario):
In this paper, a nominal sensor placement methodology for leak location in water distribution networks is presented. To reduce the size and the complexity of the optimization problem a clustering technique is combined with the nominal sensor placement methodology. Some of the pressure sensor placement methods for leak detection and location in water distribution networks are based on the pressure sensitivity matrix analysis. This matrix depends on the network demands, which are nondeterministic, and the leak magnitudes, that are unknown. The robustness of the nominal sensor placement methodology is investigated against the fault sensitivity matrix uncertainty. Providing upon the dependency of the leak location procedure on the network operating point, the nominal sensor placement problem is then reformulated as a multi-objective optimization for which Pareto optimal solutions are generated. The robustness study as well as the resulting robust sensor placement methodology are illustrated by means of a small academic network as well as a district metered area in the Barcelona water distribution network.
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Gan, Mi, Xinyuan Li, Fadong Zhang e Zhenggang He. "Regional Logistics Network Design in Mitigating Truck Flow-Caused Congestion Problems". Journal of Advanced Transportation 2020 (29 aprile 2020): 1–12. http://dx.doi.org/10.1155/2020/5197025.
Abstract (sommario):
Truck flow plays a vital role in urban traffic congestion and has a significant influence on cities. In this study, we develop a novel model for solving regional logistics network (RLN) design problems considering the traffic status of the background transportation network. The models determine not only the facility location, initial distribution planning, roadway construction, and expansion decisions but also offer an optimal solution to the logistics network service level and truck-type selections. We first analyze the relationship between the urban transportation network and the RLN design problem using real truck data and traffic flow status in a typical city. Then, we develop the uncover degree function (UDF), which reflects the service degree of the RLN and formulates based on an impedance function. Subsequently, the integrated logistics network design models are proposed. We model the RLN design problem as a minimal cost problem and design double-layer Lagrangian relaxation heuristics algorithms to solve the model problems. Through experiments with data from the six-node problem and Sioux-Falls network, the effectiveness of the models and algorithms is verified. This study contributes to the planning of regional logistics networks while mitigating traffic congestion caused by truck flow.
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El-Bahrawy, Aly N., e Alan A. Smith. "A methodology for optimal design of pipe distribution networks". Canadian Journal of Civil Engineering 14, n. 2 (1 aprile 1987): 207–15. http://dx.doi.org/10.1139/l87-032.
Abstract (sommario):
A series of computer programs has been developed to assist in the optimal design of pipe distribution networks. These programs are capable of handling nonstandard network components such as booster pumps, minor-loss devices, reservoirs, check valves, and pressure-reducing valves. All three stages of network problem, namely analysis, design, and optimization, can be solved using the same solution procedure. A known technique for layout design has been adapted to help in the selection of redundant links.The problem is formulated as a nonlinear program using as design variables the diameter, discharge, and shutoff head (where appropriate) for each link. Pump lift is assumed to be described by a parabolic Q–hp curve, the coefficients of which may be defined by the user. A powerful, large-scale, nonlinear, sparse-oriented package (MINOS) is used to solve the problem. The continuous solution obtained by MINOS is modified by a discretization procedure to arrive at the optimal discrete solution. The constraint matrix including the loop, nodal head, and continuity constraints is automatically generated.The user is required to supply a simple and concise data file that will be interfaced by a preprocessor to generate the large and complicated data file required by MINOS. The latter data file includes the nonzero elements of the constraint matrix, ordered and stored in a column-by-column fashion. A postprocessor is also used to convert the mathematical output of the package into easily understood engineering data. Three different network examples are used to demonstrate the different aspects of the model (i.e. nonstandard components, discretization procedure, and layout design). Key words: networks, optimization, design, distribution, water supply, nonlinear.
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Halat, Kourosh, e Ashkan Hafezalkotob. "Distribution Network Design with Distributors Advance Payment and Fuzzy Commitment". Journal of Advanced Manufacturing Systems 16, n. 04 (30 novembre 2017): 339–56. http://dx.doi.org/10.1142/s0219686717500202.
Abstract (sommario):
This paper investigates the distribution network design problem in a two-echelon decentralized supply chain with a manufacturer and number of candidate distributors. A game theoretical approach is proposed for the problem while the objective of the chain members is to minimize the inventory costs and create stable network. Due to the disparity of power among chain members, manufacturers ask distributors to pay a fraction of the purchase cost in advance. On the other hand, distributors have a fuzzy commitment that affects the network stability. The Stackelberg equilibrium is developed for the problem and a methodology structure is proposed for decision-making on the network design alternatives, at the end the numerical example is presented for more explanation.
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Siddique, Nazmul, e Hojjat Adeli. "Applications of Harmony Search Algorithms in Engineering". International Journal on Artificial Intelligence Tools 24, n. 06 (dicembre 2015): 1530002. http://dx.doi.org/10.1142/s0218213015300021.
Abstract (sommario):
In a recent article the authors reviewed the principles of harmony search and journal articles on harmony search algorithm (HSA). This article presents a review of applications of HSA including structural design, hydrologic model design, water distribution network design, water pump switching problem, transmission network expansion planning problem, job shop scheduling problem, university timetable and rosterering problem, training neural networks, clustering, combined heat and power economic dispatch problem, economic load dispatch problem, and economic and emission dispatch problem.
14
Carrano, E. G., L. A. E. Soares, R. H. C. Takahashi, R. R. Saldanha e O. M. Neto. "Electric Distribution Network Multiobjective Design Using a Problem-Specific Genetic Algorithm". IEEE Transactions on Power Delivery 21, n. 2 (aprile 2006): 995–1005. http://dx.doi.org/10.1109/tpwrd.2005.858779.
15
Blanchini, Franco, Franca Rinaldi e Walter Ukovich. "A Network Design Problem for a Distribution System with Uncertain Demands". SIAM Journal on Optimization 7, n. 2 (maggio 1997): 560–78. http://dx.doi.org/10.1137/s1052623494266262.
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Wang, Qi, Dragan A. Savić e Zoran Kapelan. "Hybrid metaheuristics for multi-objective design of water distribution systems". Journal of Hydroinformatics 16, n. 1 (24 luglio 2013): 165–77. http://dx.doi.org/10.2166/hydro.2013.009.
Abstract (sommario):
Multi-objective design of Water Distribution Systems (WDSs) has received considerable attention in the past. Multi-objective evolutionary algorithms (MOEAs) are popular in tackling this problem due to their ability to approach the true Pareto-optimal front (PF) in a single run. Recently, several hybrid metaheuristics based on MOEAs have been proposed and validated on test problems. Among these algorithms, AMALGAM and MOHO are two noteworthy representatives which mix their constituent algorithms in contrasting fashion. In this paper, they are employed to solve a wide range of benchmark design problems against another state-of-the-art algorithm, namely NSGA-II. The design task is formulated as a bi-objective optimisation problem taking cost and network resilience into account. The performance of three algorithms is assessed via normalised hypervolume indicator. The results demonstrate that AMALGAM is superior to MOHO and NSGA-II in terms of convergence and diversity on the networks of small-to-medium size; however, for larger networks, the performance of hybrid algorithms deteriorates as they lose their adaptive capabilities. Future improvement and/or redesign on hybrid algorithms should not only adopt the strategies of adaptive portfolios of sub-algorithms and global information sharing, but also prevent the deterioration mainly caused by imbalance of constituent algorithms.
17
Fan, H.-Y. "A neural network approach for centrifugal impeller inverse design". Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 214, n. 2 (1 marzo 2000): 183–86. http://dx.doi.org/10.1243/0957650001538272.
Abstract (sommario):
In this paper a neural network approach is proposed to solve an inverse design problem of a centrifugal impeller when the basic structure parameter and the hub-shroud contours are known, and the expected blade surface velocity distribution is given. The proposed neural networks have a four-layered feedforward architecture and are trained with finite samples by means of a back-propagation algorithm. The simulations show that the trained networks can yield a blade shape that generates the expected velocity distribution on its surface.
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Ma, You Jie, Cai Ming Wang e Xue Song Zhou. "Optimization of Distribution Network". Advanced Materials Research 811 (settembre 2013): 681–84. http://dx.doi.org/10.4028/www.scientific.net/amr.811.681.
Abstract (sommario):
Distribution network is the design of closed loop, open loop operation,which segment equipped with a normally closed and normally open switch contact switch,By changing these disconnect switches and contact switch status, the structure of the distribution network reconfiguration, you can achieve a balanced load, reducing network losses and improve voltage quality role.Distribution Network Reconfiguration in mathematics is a multi-objective high-dimensional nonlinear optimization problem, has a great solution space, using the general optimization method is difficult to obtain a good solution.Existing optimization methods such as optimal flow pattern method, branch exchange method, particle swarm optimization, genetic algorithms, computational efficiency and optimization results in other aspects worthy of improvement.
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Yang, Guang Yong. "Design of Carbon Efficient Online Logistics Networks". Advanced Materials Research 962-965 (giugno 2014): 1444–49. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.1444.
Abstract (sommario):
With development of internet network, more traditional brick-and-mortar firms sell products via online channels. The key feature of online channels is home delivery, hence, how to design efficient online logistics networks has been the core problem faced by online firms. Furthermore, with increasing pollution of ecological environment and global warming, more carbon emission regulations enacted and implemented also impact firms operation and decision. This paper mainly study online logistics networks design constraint from carbon emission regulations. We analyze the following three types of networks, dropping delivery network (D), delivery network via distribution center (W), and last mile delivery network (L). Combining carbon emission from inbound and outbound transportation, and emission from inventory storage, we design optimal logistics networks and then analyze online logistics network design of Sunfeng best choice firm.
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Aklog, D., e Y. Hosoi. "Reliability-based optimal design of water distribution networks". Water Supply 3, n. 1-2 (1 marzo 2003): 11–18. http://dx.doi.org/10.2166/ws.2003.0080.
Abstract (sommario):
Maintaining network loops, and hence attaining acceptable system reliability, has been a challenge in the optimal design of water distribution networks. Aimed at a possible solution to the problem, this paper has two objectives: to introduce a new reliability-based optimal design formulation and a model, and to examine the effect of specifying minimum allowable pipe sizes during least-cost designs on system reliability. System reliability is estimated using the minimum cut-set method, but instead of using the mechanical failure probabilities of pipes, weighted failure probabilities are calculated by considering the ratio of the actual supply to demand. One of the salient features of this study and the new reliability-based design model in particular, is that a pressure-driven network simulation model is used to determine the actual supply at each demand point when a component fails. A simplified two-loop network is used to illustrate the performance of the new model and to study the effect of specifying minimum allowable pipe sizes. The results obtained show that the new model preserves loops and results in a system with better reliability; and, if appropriate, minimum allowable pipe sizes are specified in the least-cost design, a required reliability can be attained with a reasonably low cost.
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Longhorn, Dave C., e Joshua R. Muckensturm. "Determining nodal capacities for military distribution problems". Journal of Defense Analytics and Logistics 3, n. 2 (2 dicembre 2019): 110–30. http://dx.doi.org/10.1108/jdal-03-2019-0006.
Abstract (sommario):
Purpose This paper aims to introduce a new mixed integer programming formulation and associated heuristic algorithm to solve the Military Nodal Capacity Problem, which is a type of supply chain network design problem that involves determining the amount of capacity expansion required at theater nodes to ensure the on-time delivery of military cargo. Design/methodology/approach Supply chain network design, mixed integer programs, heuristics and regression are used in this paper. Findings This work helps analysts at the United States Transportation Command identify what levels of throughput capacities, such as daily processing rates of trucks and railcars, are needed at theater distribution nodes to meet warfighter cargo delivery requirements. Research limitations/implications This research assumes all problem data are deterministic, and so it does not capture the variations in cargo requirements, transit times or asset payloads. Practical implications This work gives military analysts and decision makers prescriptive details about nodal capacities needed to meet demands. Prior to this work, insights for this type of problem were generated using multiple time-consuming simulations often involving trial-and-error to explore the trade space. Originality/value This work merges research of supply chain network design with military theater distribution problems to prescribe the optimal, or near-optimal, throughput capacities at theater nodes. The capacity levels must meet delivery requirements while adhering to constraints on the proportion of cargo transported by mode and the expected payloads for assets.
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Snoeck, André, e Matthias Winkenbach. "A Discrete Simulation-Based Optimization Algorithm for the Design of Highly Responsive Last-Mile Distribution Networks". Transportation Science 56, n. 1 (gennaio 2022): 201–22. http://dx.doi.org/10.1287/trsc.2021.1105.
Abstract (sommario):
Online and omnichannel retailers are proposing increasingly tight delivery deadlines, moving toward instant on-demand delivery. To operate last-mile distribution systems with such tight delivery deadlines efficiently, defining the right strategic distribution network design is of paramount importance. However, this problem exceeds the complexity of the strategic design of traditional last-mile distribution networks for two main reasons: (1) the reduced time available for order handling and delivery and (2) the absence of a delivery cut-off time that clearly separates order collection and delivery periods. This renders state-of-the-art last-mile distribution network design models inappropriate, as they assume periodic order fulfillment based on a delivery cutoff. In this study, we propose a metamodel simulation-based optimization (SO) approach to strategically design last-mile distribution networks with tight delivery deadlines. Our methodology integrates an in-depth simulator with traditional optimization techniques by extending a traditional black-box SO algorithm with an analytical model that captures the underlying structure of the decision problem. Based on a numerical study inspired by the efforts of a global fashion company to introduce on-demand distribution with tight delivery deadlines in Manhattan, we show that our approach outperforms contemporary SO approaches as well as deterministic and stochastic programming methods. In particular, our method systematically yields network designs with superior expected cost performance. Furthermore, it converges to good solutions with a lower computational budget and is more consistent in finding high-quality solutions. We show how congestion effects in the processing of orders at facilities negatively impact the network performance through late delivery of orders and reduced potential for consolidation. In addition, we show that the sensitivity of the optimal network design to congestion effects in order processing at the facilities increases as delivery deadlines become increasingly tight.
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CATTAFI, MASSIMILIANO, MARCO GAVANELLI, MADDALENA NONATO, STEFANO ALVISI e MARCO FRANCHINI. "Optimal placement of valves in a water distribution network with CLP(FD)". Theory and Practice of Logic Programming 11, n. 4-5 (luglio 2011): 731–47. http://dx.doi.org/10.1017/s1471068411000275.
Abstract (sommario):
AbstractThis paper presents a new application of logic programming to a real-life problem in hydraulic engineering. The work is developed as a collaboration of computer scientists and hydraulic engineers, and applies Constraint Logic Programming to solve a hard combinatorial problem. This application deals with one aspect of the design of a water distribution network, i.e., the valve isolation system design. We take the formulation of the problem by Giustolisi and Savić (2008 Optimal design of isolation valve system for water distribution networks. InProceedings of the 10th Annual Water Distribution Systems Analysis Conference WDSA2008, J. Van Zyl, A. Ilemobade, and H. Jacobs, Eds.) and show how, thanks to constraint propagation, we can get better solutions than the best solution known in the literature for the Apulian distribution network. We believe that the area of the so-calledhydroinformaticscan benefit from the techniques developed in Constraint Logic Programming and possibly from other areas of logic programming, such as Answer Set Programming.
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Dybskaya, V. V., e P. A. Sverchkov. "Designing a Rational Distribution Network for Trading Companies". Transport and Telecommunication Journal 18, n. 3 (26 settembre 2017): 181–93. http://dx.doi.org/10.1515/ttj-2017-0016.
Abstract (sommario):
Abstract This article considers the modern methods and approaches to design the company’s distribution network. The authors point out the relevance of this problem for the modern trading and manufacturing companies, give examples of the strategic goal setting of the company in the logistics network reorganization, and the benchmarks of possible economic effects of its conduction. The work reviews the scientific articles of contemporary American, European and Russian authors devoted to the approaches, concerning the implementation of projects for designing a distribution network, methods and models for its optimization. The article concludes that there is no single “language” and an approach to design the logistics networks, with a proper level of detail that takes into account the strategic features and industry specificity of the certain company. The authors propose an algorithm for designing a rational distribution network.
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Ambrosino, Daniela, e Maria Grazia Scutellà. "Distribution network design: New problems and related models". European Journal of Operational Research 165, n. 3 (settembre 2005): 610–24. http://dx.doi.org/10.1016/j.ejor.2003.04.009.
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Li, Yu, Jia Shu, Xi Wang, Naihua Xiu, Dachuan Xu e Jiawei Zhang. "Approximation Algorithms for Integrated Distribution Network Design Problems". INFORMS Journal on Computing 25, n. 3 (agosto 2013): 572–84. http://dx.doi.org/10.1287/ijoc.1120.0522.
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Kang, Mi-Young, e Ji-Seung Nam. "Efficient Massive Contents Distribution Strategy for P2P Using Sensor Smart Network". International Journal of Distributed Sensor Networks 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/569063.
Abstract (sommario):
An important problem in many P2P applications is how to efficiently disseminate massive contents from multiple sources to multiple receivers on the Internet. A successful model used for analyzing this problem is a graph that consisted of nodes and edges, with a capacity assigned to each edge. However, a scheme that can flexibly deal with the extreme network dynamic is required in order to realize the massive contents streaming service, because P2P networks are mostly formed in random fashion without good control of their topology. In this paper, we design and implement a scheme for the problem of efficient massive contents dissemination in a sensor smart network system.
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Poltorachenko, Natalia. "SIMULATION OF THE INITIAL STAGE OF ENGINEERING NETWORK DESIGN". Management of Development of Complex Systems, n. 45 (1 marzo 2021): 97–101. http://dx.doi.org/10.32347/2412-9933.2021.45.97-101.
Abstract (sommario):
The work contains an analysis of the current state of centralized utilities, which form the basis of engineering networks in the country. The problems actualizing questions of mathematical modeling of system process of designing of new and reconstruction of old engineering networks in the conditions of their perspective development are resulted. The analysis of researches in the field of designing of engineering networks taking into account uncertainty of the information is given. The main material of the article is devoted to the construction of a mathematical model of the problem of distribution of work volumes at different stages of construction or reconstruction of the engineering network, taking into account the long-term development of the system. The list of questions to be answered when designing a network is given. A topological model of the design area is proposed. It consists of sites for which design is carried out, indicators of reliability of assignment of design sites to various stages of construction or reconstruction of an engineering network, quality criteria and characteristics of resource constraints. The basic mathematical model of the problem is built, which takes into account the conditions of perspective development of the engineering network. It is solved by Boolean programming methods. Another view of the introduced variables is offered, which allows to consider them as functions of belonging of sites of the territory of designing to this or that stage of construction or reconstruction of an engineering network. The introduction of indicators of reliability of the design sites to different stages of construction or reconstruction of the engineering network leads to the discontinuous nature of the allowable values of variables, which makes the task dichotomous. The solution to this problem is the problem of partial-integer linear programming. Another approach to taking into account the uncertainty of information at the initial stages of design of engineering networks – the use of algebra of interval numbers. With the help of interval numbers it is possible to reproduce the expert opinion on the scattering of the initial data. The analysis of efficiency of application of interval algebra is resulted and formulated the need for further research on this topic.
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Sharma, A. K., e P. K. Swamee. "Application of linear programming for looped water supply pipe network design". Water Supply 13, n. 5 (1 settembre 2013): 1195–201. http://dx.doi.org/10.2166/ws.2013.126.
Abstract (sommario):
It has been indicated in the literature that looped water distribution systems designed with the linear programming (LP) optimisation technique are converted into tree-like structures resulting in the disappearance of the original geometry in the final design. Looped networks are provided for system reliability, thus such a design approach will defeat the basic purpose of looped systems provision. Such a limitation has hindered the application of LP for the design of looped water supply networks. A method for the design of a looped water distribution system has been developed such that the loop configuration of the network is maintained by bringing all the pipes of the network into the optimisation problem formulation using the LP optimisation method.
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Gan, Mi, Shuai Yang, Dandan Li, Mingfei Wang, Si Chen, Ronghui Xie e Jiyang Liu. "A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy". Complexity 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/4678358.
Abstract (sommario):
The rapid growth of logistics distribution highlights the problems including the imperfect infrastructure of logistics distribution network, the serious shortage of distribution capacity of each individual enterprise, and the high cost of distribution in China. While the development of sharing economy makes it possible to achieve the integration of whole social logistic resources, big data technology can grasp customer’s logistics demand accurately on the basis of analyzing the customer’s logistics distribution preference, which contributes to the integration and optimization of the whole logistics resources. This paper proposes a kind of intensive distribution logistics network considering sharing economy, which assumes that all the social logistics suppliers build a strategic alliance, and individual idle logistics resources are also used to deal with distribution needs. Analyzing customer shopping behavior by the big data technology to determine customer’s logistics preference on the basis of dividing the customer’s logistics preference into high speed, low cost, and low pollution and then constructing the corresponding objective function model according to different logistics preferences, we obtain the intensive distribution logistics network model and solve it with heuristic algorithm. Furthermore, this paper analyzes the mechanism of interest distribution of the participants in the distribution network and puts forward an improved interval Shapley value method considering both satisfaction and contribution, with case verifying the feasibility and effectiveness of the model. The results showed that, compared with the traditional Shapley method, distribution coefficient calculated by the improved model could be fairer, improve stakeholder satisfaction, and promote the sustainable development of the alliance as well.
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Johns, Matthew B., Edward Keedwell e Dragan Savic. "Adaptive locally constrained genetic algorithm for least-cost water distribution network design". Journal of Hydroinformatics 16, n. 2 (29 novembre 2013): 288–301. http://dx.doi.org/10.2166/hydro.2013.218.
Abstract (sommario):
This paper describes the development of an adaptive locally constrained genetic algorithm (ALCO-GA) and its application to the problem of least cost water distribution network design. Genetic algorithms have been used widely for the optimisation of both theoretical and real-world nonlinear optimisation problems, including water system design and maintenance problems. In this work we propose a heuristic-based approach to the mutation of chromosomes with the algorithm employing an adaptive mutation operator which utilises hydraulic head information and an elementary heuristic to increase the efficiency of the algorithm's search into the feasible solution space. In almost all test instances ALCO-GA displays faster convergence and reaches the feasible solution space faster than the standard genetic algorithm. ALCO-GA also achieves high optimality when compared to solutions from the literature and often obtains better solutions than the standard genetic algorithm.
32
Klapcsik, Kálmán, Roxána Varga e Csaba Hős. "Optimal Pressure Measurement Layout Design in Water Distribution Network Systems". Periodica Polytechnica Mechanical Engineering 62, n. 1 (13 novembre 2017): 51. http://dx.doi.org/10.3311/ppme.11409.
Abstract (sommario):
This paper addresses the problem of locating the optimal pressure measurement points in a hydraulic system to help system management, calibration/validation of hydraulic models and measurement planning. Two approaches are discussed in the present work. The first method splits the hydraulic system by means of community concept borrowed from graph theory and uses merely the topology of the network. The resulting subsystems will have minimum number of external and maximum number of internal connections and leaves the choice of locating the single pressure measurement location per subsystem to a higher-level decision. The second technique is based on the sensitivity analysis of the hydraulic network and places the measurement points at the most sensitive locations, while trying to preserve the spatial diversity of the layout, i.e. preventing the accumulation of the measurement points within a small area of high sensitivity. The performance of both techniques is demonstrated on real-size hydraulic networks. The proposed sampling layouts are compared to classic D-optimality, A-optimality and V-optimality criterion.
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Dash, Satyabrata, Sukanta Dey, Deepak Joshi e Gaurav Trivedi. "Minimizing area of VLSI power distribution networks using river formation dynamics". Journal of Systems and Information Technology 20, n. 4 (12 novembre 2018): 417–29. http://dx.doi.org/10.1108/jsit-10-2017-0097.
Abstract (sommario):
Purpose The purpose of this paper is to demonstrate the application of river formation dynamics to size the widths of power distribution network for very large-scale integration designs so that the wire area required by power rails is minimized. The area minimization problem is transformed into a single objective optimization problem subject to various design constraints, such as IR drop and electromigration constraints. Design/methodology/approach The minimization process is carried out using river formation dynamics heuristic. The random probabilistic search strategy of river formation dynamics heuristic is used to advance through stringent design requirements to minimize the wire area of an over-designed power distribution network. Findings A number of experiments are performed on several power distribution benchmarks to demonstrate the effectiveness of river formation dynamics heuristic. It is observed that the river formation dynamics heuristic outperforms other standard optimization techniques in most cases, and a power distribution network having 16 million nodes is successfully designed for optimal wire area using river formation dynamics. Originality/value Although many research works are presented in the literature to minimize wire area of power distribution network, these research works convey little idea on optimizing very large-scale power distribution networks (i.e. networks having more than four million nodes) using an automated environment. The originality in this research is the illustration of an automated environment equipped with an efficient optimization technique based on random probabilistic movement of water drops in solving very large-scale power distribution networks without sacrificing accuracy and additional computational cost. Based on the computation of river formation dynamics, the knowledge of minimum area bounded by optimum IR drop value can be of significant advantage in reduction of routable space and in system performance improvement.
34
Li, Zhen, Yao Zhang e Muhammad Aqeel Ashraf. "Optimization design of reconfiguration algorithm for high voltage power distribution network based on ant colony algorithm". Open Physics 16, n. 1 (31 dicembre 2018): 1094–106. http://dx.doi.org/10.1515/phys-2018-0130.
Abstract (sommario):
Abstract Distribution network reconfiguration is a very complex and large-scale combinatorial optimization problem. In network reconfiguration, whether an effective solution can be obtained is a key issue. Aiming at the problems in network reconstruction by traditional algorithm, such as long time required, more times of power flow calculation and high network loss, a network optimization design algorithm based on improved ant colony algorithm for high voltage power distribution network is proposed. After analyzing the operating characteristics of the high voltage power distribution network, the network topology of the high voltage power distribution network is described by constructing a hierarchical variable-structure distribution network model. A mathematical model of distribution network reconstruction considering the opportunity constraint with the minimum network loss as the objective function is established. The power flow distribution is calculated by using the pre-push back-generation method combined with the hierarchical structure of the distribution network. The maximum and minimum ant colony algorithm is introduced to improve the pheromone updating method of the traditional ant colony algorithm, and the search range is expanded, so that the algorithm can jump out of the local optimization trap to realize the accurate solution of the power distribution network reconstruction model. The experimental results show that compared with the current network reconstruction algorithm, the proposed algorithm requires less time for convergence, less power flow calculation, and lower network loss.
35
Hayelom, Assefa, e Avi Ostfeld. "Network Subsystems for Robust Design Optimization of Water Distribution Systems". Water 14, n. 15 (7 agosto 2022): 2443. http://dx.doi.org/10.3390/w14152443.
Abstract (sommario):
The optimal design of WDS has been extensively researched for centuries, but most of these studies have employed deterministic optimization models, which are premised on the assumption that the parameters of the design are perfectly known. Given the inherently uncertain nature of many of the WDS design parameters, the results derived from such models may be infeasible or suboptimal when they are implemented in reality due to parameter values that differ from those assumed in the model. Consequently, it is necessary to introduce some uncertainty in the design parameters and find more robust solutions. Robust counterpart optimization is one of the methods used to deal with optimization under uncertainty. In this method, a deterministic data set is derived from an uncertain problem, and a solution is computed such that it remains viable for any data realization within the uncertainty bound. This study adopts the newly emerging robust optimization technique to account for the uncertainty associated with nodal demand in designing water distribution systems using the subsystem-based two-stage approach. Two uncertainty data models with ellipsoidal uncertainty set in consumer demand are examined. The first case, referred to as the uncorrelated problem, considers the assumption that demand uncertainty only affects the mass balance constraint, while the second case, referred to as the correlated case, assumes uncertainty in demand and also propagates to the energy balance constraint.
36
van Laarhoven, Karel, Ina Vertommen e Peter van Thienen. "Technical note: Problem-specific variators in a genetic algorithm for the optimization of drinking water networks". Drinking Water Engineering and Science 11, n. 2 (8 novembre 2018): 101–5. http://dx.doi.org/10.5194/dwes-11-101-2018.
Abstract (sommario):
Abstract. Genetic algorithms can be a powerful tool for the automated design of optimal drinking water distribution networks. Fast convergence of such algorithms is a crucial factor for successful practical implementation at the drinking water utility level. In this technical note, we therefore investigate the performance of a suite of genetic variators that was tailored to the optimization of a least-cost network design. Different combinations of the variators are tested in terms of convergence rate and the robustness of the results during optimization of the real-world drinking water distribution network of Sittard, the Netherlands. The variator configurations that reproducibly reach the furthest convergence after 105 function evaluations are reported. In the future these may aid in dealing with the computational challenges of optimizing real-world networks.
37
Pop, Petrică C., Camelia-M. Pintea, Corina Pop Sitar e Mara Hajdu-Măcelaru. "An efficient Reverse Distribution System for solving sustainable supply chain network design problem". Journal of Applied Logic 13, n. 2 (giugno 2015): 105–13. http://dx.doi.org/10.1016/j.jal.2014.11.004.
38
Kchaou Boujelben, Mouna, Celine Gicquel e Michel Minoux. "A distribution network design problem in the automotive industry: MIP formulation and heuristics". Computers & Operations Research 52 (dicembre 2014): 16–28. http://dx.doi.org/10.1016/j.cor.2014.07.007.
39
Eireiner, M., S. Henzler, T. Missal, J. Berthold e D. Schmitt-Landsiedel. "Power supply network design: a case study driven approach". Advances in Radio Science 5 (13 giugno 2007): 279–84. http://dx.doi.org/10.5194/ars-5-279-2007.
Abstract (sommario):
Abstract. A study, based on product related scenarios, on power supply integrity issues is conducted. The effectiveness of specific design parameters depends strongly on the expected loading of the power distribution grid. Therefore, the commonly used approach to only use an even current distribution can lead to non-optimal power grid designs. For power grid optimization, a problem reduction from quadratic to linear order is presented. Simulations in a System-on-Chip (SoC) environment show, that power supply integrity mainly depends on the placing of the cores within the SoC die.
40
Jung, Lee e Hwang. "Optimization Difficulty Indicator and Testing Framework for Water Distribution Network Complexity". Water 11, n. 10 (14 ottobre 2019): 2132. http://dx.doi.org/10.3390/w11102132.
Abstract (sommario):
In the last three decades, benchmark water distribution networks (WDNs) have provided a common testbed for new optimization algorithms and design approaches. However, deriving generalized and reliable conclusions from such benchmark WDNs is difficult because their optimization difficulty levels (ODLs) are either too low or too high (i.e., biased). Final solutions do not consistently converge to a global optimum for a WDN problem with a high ODL. In addition, little effort has been given to quantifying and comparing the ODLs of WDNs with different characteristics and conditions. In this study, an ODL indicator was developed for WDNs: the coefficient of variation of the final solution fitness values. An ODL quantification framework was also developed with two phases: (1) generating network layouts with various topological characteristics, and (2) quantifying the statistics of the final solution quality and ODL by using a global parallel genetic algorithm. The proposed indicator and framework were applied to the design of a dense-grid B-city network and large C network, and the results demonstrated their applicability to generating a WDN benchmark problem with the target ODL.
41
RAVADANEGH, SAJAD NAJAFI, ARASH VAHIDNIA e HOJAT HATAMI. "ON OPTIMAL DESIGN AND EXPANSION OF ELECTRICAL POWER DISTRIBUTION SYSTEMS". Journal of Circuits, Systems and Computers 19, n. 01 (febbraio 2010): 45–58. http://dx.doi.org/10.1142/s0218126610005962.
Abstract (sommario):
Optimal planning of large-scale distribution networks is a multiobjective combinatorial optimization problem with many complexities. This paper proposes the application of improved genetic algorithm (GA) for the optimal design of large-scale distribution systems in order to provide optimal sizing and locating of the high voltage (HV) substations and medium voltage (MV) feeders routing, using their corresponding fixed and variable costs associated with operational and optimization constraints. The novel approach presented in the paper, solves hard satisfactory optimization problems with different constraints in large-scale distribution networks. This paper presents a new concept based on MST in graph theory and GA for optimal locating of the HV substations and MV feeders routing in a real-size distribution network. Minimum spanning tree solved with Prim's algorithm is employed to generate a set of feasible population. In the present article, to reduce computational burden and avoid huge search space leading to infeasible solutions, special coding method is generated for GA operators to solve optimal feeders routing. The proposed coding method guarantees the validity of the solution during the progress of the GA toward the global optimal solution. The developed GA-based software is tested in a real-size large-scale distribution system and the well-satisfactory results are presented.
42
Izquierdo, Joaquín, Idel Montalvo, Rafael Pérez-García e Agustín Matías. "On the Complexities of the Design of Water Distribution Networks". Mathematical Problems in Engineering 2012 (2012): 1–25. http://dx.doi.org/10.1155/2012/947961.
Abstract (sommario):
Water supply is one of the most recognizable and important public services contributing to quality of life. Water distribution networks (WDNs) are extremely complex assets. A number of complex tasks, such as design, planning, operation, maintenance, and management, are inherently associated with such networks. In this paper, we focus on the design of a WDN, which is a wide and open problem in hydraulic engineering. This problem is a large-scale combinatorial, nonlinear, nonconvex, multiobjective optimization problem, involving various types of decision variables and many complex implicit constraints. To handle this problem, we provide a synergetic association between swarm intelligence and multiagent systems where human interaction is also enabled. This results in a powerful collaborative system for finding solutions to such a complex hydraulic engineering problem. All the ingredients have been integrated into a software tool that has also been shown to efficiently solve problems from other engineering fields.
43
Huo, Chao. "Design of a wireless communication system for distribution monitoring". Journal of Physics: Conference Series 2290, n. 1 (1 giugno 2022): 012124. http://dx.doi.org/10.1088/1742-6596/2290/1/012124.
Abstract (sommario):
Abstract According to the requirements of wireless communication in medium and low voltage distribution monitoring system, this paper designs a wireless signal networking method at medium and low voltage distribution side, and analyzes the networking mechanism between each protocol layer, including important wireless avoidance mechanism, networking mechanism of network layer and application layer. Aiming at the problem of network connectivity, a wireless networking algorithm based on optimal distance is proposed, and other common wireless networking algorithms are studied at the same time. The networking algorithms are simply evaluated and compared, and the advantages of this strategy in wireless networking are verified by experimental simulation and analysis.
44
Zheng, Xiaojin, Shengkun Qin e Yanxia Zhang. "Design an Effective Blood Distribution Network with Minimal Impacts on the Environment and Blood Supply Assurance". Journal of Environmental and Public Health 2022 (18 agosto 2022): 1–9. http://dx.doi.org/10.1155/2022/7117151.
Abstract (sommario):
As the world’s population grows, resulting in the aggravating trend of aging population, it brings with it an increase in the demand for blood. Nowadays, in most cities, the blood distribution network is based on a single distribution centre pattern, with the blood centre acting as distribution centre for one-to-one distribution. However, despite its convenience, this pattern has a high frequency of delivery, increased risk of blood shortage, and generates high carbon emissions. This paper aims to understand the real-life problems of the current blood distribution network and to design a more rational blood distribution network by taking the characteristics of the blood supply chain into account. Two blood distribution network patterns are considered, the current single distribution centre pattern and the proposed multiple distribution centre pattern. In order to minimise environmental impacts, we introduce open vehicle routing problem for blood delivery routes planning, using mixed integer programming for modelling, to compare the carbon emissions between the two blood distribution network patterns. Numerical experimental results demonstrate that applying the proposed BDN can reduce carbon emissions by an average of 25.84% and up to 29.59%, and the delivery time in emergency situations is significantly reduced by an average of 33.15%. Such studies are essential for both reducing carbon emissions and safeguarding patients’ lives.
45
Gutiérrez-Bahamondes, Jimmy H., Daniel Mora-Meliá, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano e Yamisleydi Salgueiro. "Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs". Water 13, n. 21 (3 novembre 2021): 3098. http://dx.doi.org/10.3390/w13213098.
Abstract (sommario):
The investment and operating costs of pumping stations in drinking water distribution networks are some of the highest public costs in urban sectors. Generally, these systems are designed based on extreme scenarios. However, in periods of normal operation, extra energy is produced, thereby generating excess costs. To avoid this problem, this work presents a new methodology for the design of pumping stations. The proposed technique is based on the use of a setpoint curve to optimize the operating and investment costs of a station simultaneously. According to this purpose, a novel mathematical optimization model is developed. The solution output by the model includes the selection of the pumps, the dimensions of pipelines, and the optimal flow distribution among all water sources for a given network. To demonstrate the advantages of using this technique, a case study network is presented. A pseudo-genetic algorithm (PGA) is implemented to resolve the optimization model. Finally, the obtained results show that it is possible to determine the full design and operating conditions required to achieve the lowest cost in a multiple pump station network.
46
Ohmori, Shunichi, Qian Huang e Kazuho Yoshimoto. "Global logistics network design problem with rules of origin". Journal of Industrial Engineering and Management 12, n. 3 (28 novembre 2019): 447. http://dx.doi.org/10.3926/jiem.2977.
Abstract (sommario):
Purpose: This paper aims to incorporate rules of origin into international taxation into firms' global operations. The purposes of this research are to develop a new model for the global logistics network design of an assembly system with rules of origin and to analyze how the changes of international relationships will affect logistics network design and evaluation functions.Design/methodology/approach: In this study, we develop a global logistics network design model prescribing allocating amounts for production, assembly, and distribution. A path-based programming model is presented that represents the complexities associated with international and interenterprise issues. The objective is to minimize total costs, which are costs of production, assembly, transportation, and customs duties. In addition to customs duties, rules of origin, which were, not addressed in previous studies, are considered. Several computational experiments with industrial examples are presented to validate the model.Findings: The results indicate that the tax planning and alignment with the FTA might have a significant impact on the decision-making in the global supply chain for multi-national operating companies. Therefore, the multi-national operating companies need to be aware of importance of what-if simulation before or after FTA changes.Originality/value: While designing global supply chain, the tax effects and use of free-trade agreements (FTAs), were generally omitted. In this paper, we proposed a global logistics network design model with rules of origin. We show the effectiveness and necessity to consider rules of origin. This model can be used in making an optimal global logistics network for global companies. The results of this model are used as a target for a real optimal logistics network. Companies can make a better logistics network by using this model.
47
Shi, Qing Sheng. "Charging Station Battery Optimal Distribution Software Design Based on GUI Technique". Applied Mechanics and Materials 380-384 (agosto 2013): 2007–10. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2007.
Abstract (sommario):
Charging station network is one of the most critical links, during the large-scale operation progress of new energy vehicles. Due to the large number of charging stations in network, the number of batteries distributed in the whole charging station network is also very large. Timely and accurately delivering of replaced battery would save a lot of material and manpower costs and time. Therefore, battery optimal distribution problem in charging station network must be resolved. The main purpose of this paper is to design the power battery optimal distribution software. Matlab GUI (Graphical User Interface) technique is adopted to design simulation test software interface, and m language is used to implement background operations of optimal algorithm parameters.
48
Qian, Bi Fu, Gao Xiang Lin, Yong Kang Jiang e Rong Tao Wang. "Reason Analysis and Governance Advice for Low Voltage in Distribution Network". Applied Mechanics and Materials 678 (ottobre 2014): 518–23. http://dx.doi.org/10.4028/www.scientific.net/amm.678.518.
Abstract (sommario):
Many reasons of low voltage in distribution network of Zhejiang province were investigation owing to many complaints from the areas. Because of a mass of site visits, simulation models were built to prove reasons of low voltage. The reason statistics of the transformer districts over the province list several proportions for the problems. Lastly, five advices were obtained to solution low voltage including planning, design, construction, reactive compensation and remote monitoring. It is helpful for solving the problem pertinently.
49
Nono, Denis, e Innocent Basupi. "Robust booster chlorination in water distribution systems: design and operational perspectives under uncertainty". Journal of Water Supply: Research and Technology-Aqua 68, n. 6 (11 giugno 2019): 399–410. http://dx.doi.org/10.2166/aqua.2019.007.
Abstract (sommario):
Abstract Booster chlorination designs have been widely based on predefined (deterministic) network conditions and they perform poorly under uncertainty in water distribution systems (WDSs). This paper presents a scenario-based robust optimisation approach which was developed to obtain booster chlorination designs that withstand uncertain network operations and water demand conditions in the WDSs. An optimisation problem was formulated to minimise mass injection rates and the risk of chlorine disinfection. This problem was solved by a non-dominated sorting genetic algorithm (NSGA-II). The proposed approach was demonstrated using the Phakalane network in Botswana. The results present robust booster chlorination (RBC) designs, which indicate the number of boosters, locations and injection rates in the network. The performance of RBC designs evaluated under uncertainty reveals lower risks of chlorine disinfection compared to deterministic-based designs. The proposed approach obtains booster chlorination designs that respond better to uncertainty in the operations of WDSs.
50
Yun, YoungSu, Anudari Chuluunsukh e Mitsuo Gen. "Sustainable Closed-Loop Supply Chain Design Problem: A Hybrid Genetic Algorithm Approach". Mathematics 8, n. 1 (4 gennaio 2020): 84. http://dx.doi.org/10.3390/math8010084.
Abstract (sommario):
In this paper, we propose a solution to the sustainable closed-loop supply chain (SCLSC) design problem. Three factors (economic, environmental, and social) are considered for the problem and the three following requirements are addressed while satisfying associated constraint conditions: (i) minimizing the total cost; (ii) minimizing the total amount of CO2 emission during production and transportation of products; (iii) maximizing the social influence. Further, to ensure the efficient distribution of products through the SCLSC network, three types of distribution channels (normal delivery, direct delivery, and direct shipment) are considered, enabling a reformulation of the problem as a multi-objective optimization problem that can be solved using Pareto optimal solutions. A mathematical formulation is proposed for the problem, and it is solved using a hybrid genetic algorithm (pro-HGA) approach. The performance of the pro-HGA approach is compared with those of other conventional approaches at varying scales, and the performances of the SCLSC design problems with and without three types of distribution channels are also compared. Finally, we prove that the pro-HGA approach outperforms its competitors, and that the SCLSC design problem with three types of distribution channels is more efficient than that with a single distribution channel.