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Journal articles on the topic 'IDEAL DISTANCE MINIMIZATION METHOD'

Author: Grafiati

Published: 11 September 2023

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1

Khan, Abdullah, Hashim Hizam, Noor Izzri Abdul-Wahab, and Mohammad Lutfi Othman. "Solution of Optimal Power Flow Using Non-Dominated Sorting Multi Objective Based Hybrid Firefly and Particle Swarm Optimization Algorithm." Energies 13, no. 16 (2020): 4265. http://dx.doi.org/10.3390/en13164265.

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In this paper, a multi-objective hybrid firefly and particle swarm optimization (MOHFPSO) was proposed for different multi-objective optimal power flow (MOOPF) problems. Optimal power flow (OPF) was formulated as a non-linear problem with various objectives and constraints. Pareto optimal front was obtained by using non-dominated sorting and crowding distance methods. Finally, an optimal compromised solution was selected from the Pareto optimal set by applying an ideal distance minimization method. The efficiency of the proposed MOHFPSO technique was tested on standard IEEE 30-bus and IEEE 57-

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Restifo, Richard J. "The Pedicled Robertson Mammaplasty: Minimization of Complications in Obese Patients With Extreme Macromastia." Aesthetic Surgery Journal 40, no. 12 (2020): NP666—NP675. http://dx.doi.org/10.1093/asj/sjaa073.

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Abstract Background Breast reduction for extreme macromastia in obese patients is a potentially high-risk endeavor. Free nipple grafting as well as a variety of pedicled techniques have been advocated for large reductions in obese patients, but the number of different approaches suggests that no single method is ideal. This paper suggests the Robertson Mammaplasty, an inferior pedicle technique characterized by a curvilinear skin extension onto the pedicle, as a potentially favorable approach to this clinical situation. Objectives The author sought to determine the safety of the Pedicled Rober

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Aljohani, Khalid. "Optimizing the Distribution Network of a Bakery Facility: A Reduced Travelled Distance and Food-Waste Minimization Perspective." Sustainability 15, no. 4 (2023): 3654. http://dx.doi.org/10.3390/su15043654.

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There are many logistics nuances specific to bakery factories, making the design of their distribution network especially complex. In particular, bakery products typically have a shelf life of under a week. To ensure that products are delivered to end-customers with freshness, speed, quality, health, and safety prioritized, the distribution network, facility location, and ordering system must be optimally designed. This study presents a multi-stage framework for a bakery factory comprised of a selection methodology of an optimum facility location, an effective distribution network for delivery

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GÖÇMEN POLAT, Elifcan. "Distribution Centre Location Selection for Disaster Logistics with Integrated Goal Programming-AHP based TOPSIS Method at the City Level." Afet ve Risk Dergisi 5, no. 1 (2022): 282–96. http://dx.doi.org/10.35341/afet.1071343.

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The importance of disaster logistics and its share in the logistics sector are increasing significantly. Most disasters are difficult to predict; therefore, a set of measures seems to be necessary to reduce the risks. Thus, disaster logistics needs to be designed with the pre-disaster and post-disaster measures. These disasters are experienced intensely in Turkey and the importance of these measures becomes more evidential. Therefore, accurate models are required to develop an effective disaster preparedness system. One of the most important decisions to increase the preparedness is to locate

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Lopez-Perez, Jose J., Uriel H. Hernandez-Belmonte, Juan-Pablo Ramirez-Paredes, Marco A. Contreras-Cruz, and Victor Ayala-Ramirez. "Distributed Multirobot Exploration Based on Scene Partitioning and Frontier Selection." Mathematical Problems in Engineering 2018 (June 20, 2018): 1–17. http://dx.doi.org/10.1155/2018/2373642.

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In mobile robotics, the exploration task consists of navigating through an unknown environment and building a representation of it. The mobile robot community has developed many approaches to solve this problem. These methods are mainly based on two key ideas. The first one is the selection of promising regions to explore and the second is the minimization of a cost function involving the distance traveled by the robots, the time it takes for them to finish the exploration, and others. An option to solve the exploration problem is the use of multiple robots to reduce the time needed for the ta

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Shu Xuan, Leong, Tengku Juhana Tengku Hashim, and Muhamad Najib Kamarudin. "Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2022): 15. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp15-23.

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The conventional power plants often bring in power quality concerns for instance high power losses and poor voltage profile to the network which are caused by the locations of power plants that are placed a distance away from loads. With proper planning and systematic allocation, the introduction of distributed generation (DG) into the network will enhance the performance and condition of the power system. This paper utilizes the optimization approach named whale optimization algorithm (WOA) in the search of the most ideal location and size of DG while ensuring the reduction of power losses an

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He, Chun, Ke Guo, and Huayue Chen. "An Improved Image Filtering Algorithm for Mixed Noise." Applied Sciences 11, no. 21 (2021): 10358. http://dx.doi.org/10.3390/app112110358.

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In recent years, image filtering has been a hot research direction in the field of image processing. Experts and scholars have proposed many methods for noise removal in images, and these methods have achieved quite good denoising results. However, most methods are performed on single noise, such as Gaussian noise, salt and pepper noise, multiplicative noise, and so on. For mixed noise removal, such as salt and pepper noise + Gaussian noise, although some methods are currently available, the denoising effect is not ideal, and there are still many places worthy of improvement and promotion. To

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Jawak, Shridhar D., Sagar F. Wankhede, Alvarinho J. Luis, and Keshava Balakrishna. "Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods." Remote Sensing 14, no. 6 (2022): 1414. http://dx.doi.org/10.3390/rs14061414.

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Glacier surface facies are valuable indicators of changes experienced by a glacial system. The interplay of accumulation and ablation facies, followed by intermixing with dust and debris, as well as the local climate, all induce observable and mappable changes on the supraglacial terrain. In the absence or lag of continuous field monitoring, remote sensing observations become vital for maintaining a constant supply of measurable data. However, remote satellite observations suffer from atmospheric effects, resolution disparity, and use of a multitude of mapping methods. Efficient image-processi

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H. Mohammed, Abbas, and Khattab S. Abdul-Razzaq. "Optimum Design of Steel Trapezoidal Box-Girders Using Finite Element Method." International Journal of Engineering & Technology 7, no. 4.20 (2018): 325. http://dx.doi.org/10.14419/ijet.v7i4.20.26130.

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The target of basic plan is to choose part sizes with the ideal proportioning of the in general auxiliary geometry. Regular steel trapezoidal box-supports have been utilized generally in different designing fields. The target of this examination is to create three-dimensional limited component display for the size improvement of steel trapezoidal box-braces. The limited component programming bundle ANSYS was utilized to decide the ideal cross segment measurement for the steel trapezoidal-box support. Two target capacities were considered in this investigation which are: minimization of the str

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Rozylowicz, Laurentiu, Florian P. Bodescu, Cristiana M. Ciocanea, et al. "Empirical analysis and modeling of Argos Doppler location errors in Romania." PeerJ 7 (January 31, 2019): e6362. http://dx.doi.org/10.7717/peerj.6362.

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Background Advances in wildlife tracking technology have allowed researchers to understand the spatial ecology of many terrestrial and aquatic animal species. Argos Doppler is a technology that is widely used for wildlife tracking owing to the small size and low weight of the Argos transmitters. This allows them to be fitted to small-bodied species. The longer lifespan of the Argos units in comparison to units outfitted with miniaturized global positioning system (GPS) technology has also recommended their use. In practice, large Argos location errors often occur due to communication condition

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Mamta,, Mamta,, U. Nangia, and N. K. Jain. "Genetic Algorithm based Multiobjective Optimal Power Dispatch based on Ideal Distance Minimization." IOSR Journal of Electrical and Electronics Engineering 9, no. 2 (2014): 39–48. http://dx.doi.org/10.9790/1676-09273948.

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Nangia, U., N. K. Jain, and C. L. Wadhwa. "Multiobjective optimal load flow based on ideal distance minimization in 3D space." International Journal of Electrical Power & Energy Systems 23, no. 8 (2001): 847–55. http://dx.doi.org/10.1016/s0142-0615(00)00085-5.

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13

Asady, B. "Revision of distance minimization method for ranking of fuzzy numbers." Applied Mathematical Modelling 35, no. 3 (2011): 1306–13. http://dx.doi.org/10.1016/j.apm.2010.09.007.

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Martyshko, Petr, Igor Ladovskii, Denis Byzov, and Alexander Tsidaev. "Gravity Data Inversion with Method of Local Corrections for Finite Elements Models." Geosciences 8, no. 10 (2018): 373. http://dx.doi.org/10.3390/geosciences8100373.

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We present a new method for gravity data inversion for the linear problem (reconstruction of density distribution by given gravity field). This is an iteration algorithm based on the ideas of local minimization (also known as local corrections method). Unlike the gradient methods, it does not require a nonlinear minimization, is easier to implement and has better stability. The algorithm is based on the finite element method. The finite element approach in our study means that the medium (part of a lithosphere) is represented as a set of equal rectangular prisms, each with constant density. We

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Rudy, Jarosław, Radosław Idzikowski, Elzbieta Roszkowska, and Konrad Kluwak. "Multiple Mobile Robots Coordination in Shared Workspace for Task Makespan Minimization." Processes 10, no. 10 (2022): 2087. http://dx.doi.org/10.3390/pr10102087.

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In this paper we consider a system of multiple mobile robots (MMRS) and the process of their concurrent motion in a shared two-dimensional workspace. The goal is to plan the robot movement along given fixed paths so as to minimize the completion time of all the robots while ensuring that they never collide. Thus, the considered problem combines the problems of robot schedule optimization with collision and deadlock avoidance. The problem formulation is presented and its equivalent reformulation that does not depend explicitly on the geometry of the robot paths is proposed. An event-based solut

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Tubniyom, Chayut, Rongrit Chatthaworn, Amnart Suksri, and Tanakorn Wongwuttanasatian. "Minimization of Losses in Solar Photovoltaic Modules by Reconfiguration under Various Patterns of Partial Shading." Energies 12, no. 1 (2018): 24. http://dx.doi.org/10.3390/en12010024.

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Configurations of photovoltaic (PV) modules, such as series-parallel (SP), bridge-linked (BL), and total cross-tied (TCT) configurations, always utilize a number of connecting switches. In a simulation, the ideal switch with no loss is used to optimize the reconfiguration method for a solar PV array. However, in practice, the switches are non-ideal, causing losses and resulting in a decrease in the total output power of the PV array. In this work, MATLAB/Simulink (R2016a) was employed to simulate nine PV modules linked in a 3 × 3 array, and they were reconfigured using series-parallel (SP), br

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Zhang, Huajin, Shunchuan Wu, Xiaoqiang Zhang, Longqiang Han, and Zhongxin Zhang. "Slope stability prediction method based on the margin distance minimization selective ensemble." CATENA 212 (May 2022): 106055. http://dx.doi.org/10.1016/j.catena.2022.106055.

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SALUKVADZE, M. E., R. SH GOGSADZE, and N. I. JIBLADZE. "TO THE FORMALIZATION OF THE ESTIMATES OF THE PHENOMENON STATE." International Journal of Information Technology & Decision Making 06, no. 04 (2007): 599–610. http://dx.doi.org/10.1142/s0219622007002708.

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The questions of the formalization of the estimates of the phenomenon state, which can be used in the decision-making multicriterion problems [Vector-Valued Optimization Problems in Control Theory (Academic Press, New York, 1979)] taking into account the metrics of the space of partial criteria are considered. Any phenomenon is described by some system of characteristic parameters, which values are presented by the coordinates of points in the space of states of the given phenomenon. A notion of the "ideal" state determined by optimal values of each characteristic parameter separately and inde

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19

Nan, Jiangxia, Ting Wang, and Jingjing An. "Intuitionistic Fuzzy Distance Based TOPSIS Method and Application to MADM." International Journal of Fuzzy System Applications 5, no. 1 (2016): 43–56. http://dx.doi.org/10.4018/ijfsa.2016010103.

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In this paper, an intuitionistic fuzzy (IF) distance measure between two triangular intuitionistic fuzzy numbers (TIFNs) is developed. The metric properties of the proposed IF distance measure are also studied. Then, based on this IF distance, an extended TOPSIS is developed to solve multi-attribute decision making (MADM) problems with the ratings of alternatives on attributes of TIFNs. In this methodology, the IF distances between each alternative and the TIFN positive ideal-solution are calculated as well as the TIFN negative ideal-solution. Then the relative closeness degrees obtained of ea

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Spasojevic, Momcilo, Milovan Jankovic, and Damir Djakovic. "A new approach to entropy production minimization in diabatic distillation column with trays." Thermal Science 14, no. 2 (2010): 317–28. http://dx.doi.org/10.2298/tsci1002317s.

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Previous approach to direct numerical minimization of entropy production in diabatic distillation column in order to determine heat quantity to be exchanged at trays was based on temperatures on trays as control variables and it was applied only to simple binary columns. Also, previously developed theoretical models for determining optimal exchanged heat profile were determined only at such columns and while they were approximated they produced worse results than numerical minimum of entropy production. In this paper, as control variables for minimization, exchanged heat on the trays is used.

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21

LI, HONGZHI, and YAOQI ZHOU. "FOLD HELICAL PROTEINS BY ENERGY MINIMIZATION IN DIHEDRAL SPACE AND A DFIRE-BASED STATISTICAL ENERGY FUNCTION." Journal of Bioinformatics and Computational Biology 03, no. 05 (2005): 1151–70. http://dx.doi.org/10.1142/s0219720005001430.

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Statistical energy functions are discrete (or stepwise) energy functions that lack van der Waals repulsion. As a result, they are often applied directly to a given structure (native or decoy) without further energy minimization being performed to the structure. However, the full benefit (or hidden defect) of an energy function cannot be revealed without energy minimization. This paper tests a recently developed, all-atom statistical energy function by energy minimization with a fixed secondary helical structure in dihedral space. This is accomplished by combining the statistical energy functio

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Fushimi, Takayasu, Kazumi Saito, and Hiroshi Motoda. "Constructing outlier-free histograms with variable bin-width based on distance minimization." Intelligent Data Analysis 27, no. 1 (2023): 5–29. http://dx.doi.org/10.3233/ida-216316.

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We propose a new method of constructing a variable bin width histogram that can accommodate the unbalanced distribution of the samples yet retaining, as a whole, the good aspect of both equal width (EW) and equal-area (EA) histograms that are being used popularly for data visualization and analysis. We formulate this as an optimal change point detection problem in which the bin boundaries are determined by minimizing the sum of the absolute error or the squared error in each bin. The former is based on Distance Minimization (DM) and new, and the latter is based on Variance Minimization (VM) an

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Chang, C., M. J. Chung, and Z. Bien. "Collision-free motion planning for two articulated robot arms using minimum distance functions." Robotica 8, no. 2 (1990): 137–44. http://dx.doi.org/10.1017/s0263574700007712.

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SummaryThis paper presents a collision-free motion planning method of two articulated robot arms in a three dimensional common work space. Each link of a robot arm is modeled by a cylinder ended by two hemispheres, and the remaining wrist and hand is modeled by a sphere. To describe the danger of collision between two modeled objects, minimum distance functions, which are defined by the Euclidean norm, are used. These minimum distance functions are used to describe the constraints that guarantee no collision between two robot arms. The collision-free motion planning problem is formulated as a

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Shi, Ya, and Hongbing Ji. "Smooth approximation method for non-smooth empirical risk minimization based distance metric learning." Neurocomputing 127 (March 2014): 135–43. http://dx.doi.org/10.1016/j.neucom.2013.08.030.

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25

Liu, Peide. "MULTI‐ATTRIBUTE DECISION‐MAKING METHOD RESEARCH BASED ON INTERVAL VAGUE SET AND TOPSIS METHOD." Technological and Economic Development of Economy 15, no. 3 (2009): 453–63. http://dx.doi.org/10.3846/1392-8619.2009.15.453-463.

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This paper proposed a method to resolve the multi‐attribute decision‐making problem using TOPSIS method based on attribute weights and attribute values are all interval vague value. Firstly, based on the operation rules of the interval Vague value, the interval Vague attribute value is made by weighted operation, and the ideal and negative ideal solutions are calculated based on the score function. Then the distance of interval Vague value is defined, as well as the distance between each project and the ideal, and negative ideal solutions. The relative adjacent degree is calculated by TOPSIS m

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Tavana, Madjid, Frank LoPinto, and James W. Smither. "A Hybrid Distance-Based Ideal-Seeking Consensus Ranking Model." Journal of Applied Mathematics and Decision Sciences 2007 (August 19, 2007): 1–18. http://dx.doi.org/10.1155/2007/20489.

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Ordinal consensus ranking problems have received much attention in the management science literature. A problem arises in situations where a group of k decision makers (DMs) is asked to rank order n alternatives. The question is how to combine the DM rankings into one consensus ranking. Several different approaches have been suggested to aggregate DM responses into a compromise or consensus ranking; however, the similarity of consensus rankings generated by the different algorithms is largely unknown. In this paper, we propose a new hybrid distance-based ideal-seeking consensus ranking model (

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Morosuk, Tatiana, Ruslan Nikulshin, and Larisa Morosuk. "Entropy-cycle method for analysis of refrigeration machine and heat pump cycles." Thermal Science 10, no. 1 (2006): 111–24. http://dx.doi.org/10.2298/tsci0601111m.

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Real and ideal cycles of any complexity can be compared through the definition of the irreversibility's and ways of their minimization in the thermodynamic analysis. The paper considers the use of entropy-cycle method for thermodynamic analysis of refrigerating machines and heat pumps. Using this method preconditions of practical use for analysis, synthesis, and optimization have been created. The methodology of the entropy-cycle method can be use in many areas of the scientific work and educational process.

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U.O., Eric, Michael O.O., Oberhiri-Orumah G., and Chike H. N. "New K-means Clustering Method Using Minkowski’s Distance as its Metric." British Journal of Computer, Networking and Information Technology 4, no. 1 (2021): 28–41. http://dx.doi.org/10.52589/bjcnit-xepsjbwx.

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Cluster analysis is an unsupervised learning method that classifies data points, usually multidimensional into groups (called clusters) such that members of one cluster are more similar (in some sense) to each other than those in other clusters. In this paper, we propose a new k-means clustering method that uses Minkowski’s distance as its metric in a normed vector space which is the generalization of both the Euclidean distance and the Manhattan distance. The k-means clustering methods discussed in this paper are Forgy’s method, Lloyd’s method, MacQueen’s method, Hartigan and Wong’s method, L

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Li, Jin-qiu, Wei Chen, Zao-li Yang, and Chuan-yun Li. "A time-preference and VIKOR-based dynamic intuitionistic fuzzy decision making method." Filomat 32, no. 5 (2018): 1523–33. http://dx.doi.org/10.2298/fil1805523l.

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According to the decision information of multi-attribute decision-making problem with fuzzy and temporal characteristics, a dynamic intuitionistic fuzzy decision making method based on time preference and VIKOR is proposed. First, we determined the attribute weights under different time sequence based on intuitionistic fuzzy entropy minimization; secondly, we introduced the time degree function reflecting the decision makers? subjective time preference, and established a multi-objective programming model to obtain time weights; then we used dynamic intuitionistic fuzzy weighted geometric (DIFW

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Yang, Anrong, Zigang Zhang, Yishi Zhang, and Dunliang Chen. "Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency." Journal of Applied Mathematics 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/453749.

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Cross-efficiency evaluation is an effective and widely used method for ranking decision making units (DMUs) in data envelopment analysis (DEA). Gap minimization criterion is introduced in aggressive and benevolent cross-efficiency methods to avoid possible extreme efficiency from peer-evaluation and to get equitable results. On the basis of this criterion, a weighted cross-efficiency method with similarity distance that, respectively, considers the aggressive and the benevolent formulations is proposed to determine cross-efficiency. The weights of the cross-evaluation determined by this method

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Zhao, Chun Na, Yu Zhao, Li Ming Luo, and Ying Shun Li. "Course Evaluation Method Based on Fractional Correlation Distance and AHP." Advanced Materials Research 204-210 (February 2011): 512–17. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.512.

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Course evaluation is an important and necessary means to improve the level of course. A new course evaluation method based on fractional grey relational distance and analytic hierarchy process (AHP) is proposed in this paper. Firstly, the proportion of the different influence factors can be determined through constructing judging-matrix and calculating-back-to-one and dealing with the checkout of coherence. Secondly, qualitative evaluation indicators are quantified by fractional-order system, and quantitative indicators are processed by idealization and normalization. And then association coef

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32

Yokozuka, Masashi, and Osamu Matsumoto. "A Reasonable Path Planning via Path Energy Minimization." Journal of Robotics and Mechatronics 26, no. 2 (2014): 236–44. http://dx.doi.org/10.20965/jrm.2014.p0236.

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This paper presents a path planning method by path energy minimizing that enables mobile robots to move smoothly in the real world with optimizing path shape for shortest distance or minimum curvature. It also enables robots to travel safely toward a destination because pedestrian motion prediction is embedded in path planning. This path planning method is based on problems experienced in a robot competition called Tsukuba Challenge. The problems involved nonsmooth motion arising from finite path patterns in A* algorithm, stuck motion arising from frequently path switching, and near misses ari

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Wang, Ting, and Li Feng Li. "Decision Based on Fuzzy Multi-Objective Programming Method of High-Tech Investment Portfolio." Key Engineering Materials 474-476 (April 2011): 1961–65. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1961.

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The expected rate of earnings and risk of high-tech projects are very fuzzy, and investors hope to get the expected rate of earnings maximization and risk minimization. Therefore, this paper establishes the model of fuzzy multi-objective programming method to select an optimal portfolio scheme. On the one hand, the objectives risk can be scattered, on the other hand investors can get ideal earnings. The example shows that this method to solve problems of portfolio investment decision is feasible and effective.

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Lu, Yaean-Jye, John Z. Luh, and Alan K. Yep. "Using queue distance to supplement traffic signal timing design." Canadian Journal of Civil Engineering 17, no. 4 (1990): 652–58. http://dx.doi.org/10.1139/l90-074.

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A common approach in traffic signal timing design at isolated intersections is to assume homogeneous traffic flows and ideal geometric conditions, and then to apply adjustment factors so that variations from the ideal conditions are considered. Since the ideal and adjustment values are usually developed from empirical field data, the final result may not accurately reflect the true local situation. Fine tuning, primarily based on personal judgment, is therefore almost always required because local conditions differ from study conditions. This paper presents a method which relies solely on an e

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Jiang, Wen, Meijuan Wang, Xinyang Deng, and Linfeng Gou. "Fault diagnosis based on TOPSIS method with Manhattan distance." Advances in Mechanical Engineering 11, no. 3 (2019): 168781401983327. http://dx.doi.org/10.1177/1687814019833279.

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Fault diagnosis is important for the maintenance of machinery equipment. Due to the randomness and fuzziness of fault, the relationship between fault types and their characteristics are complicated. Therefore, the determination of fault type is a challenging part of machinery fault diagnosis with the traditional method. To tackle this problem, a fault diagnosis approach based on the technique for order performance by similarity to ideal solution with Manhattan distance is presented in this article. First, the similarity measure between the fault model and the detection sample is constructed ba

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Fitrianingsih, Fitrianingsih, Sarifuddin Madenda, Ernastuti Ernastuti, Suryarini Widodo, and Rodiah Rodiah. "Cursive Handwriting Segmentation using Ideal Distance Approach." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2863. http://dx.doi.org/10.11591/ijece.v7i5.pp2863-2872.

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Offline cursive handwriting becomes a major challenge due to the huge amount of handwriting varieties such as slant handwriting, space between words, the size and direction of the letter, the style of writing the letter and handwriting with contour similarity on some letters. There are some steps for recursive handwriting recognition. The steps are preprocessing, morphology, segmentation, features of letter extraction and recognition. Segmentation is a crucial process in handwriting recognition since the success of segmentation step will determine the success level of recognition. This paper p

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Sianturi, Hotman Jandri Vay, and Lince Tomoria Sianturi. "Sistem Pendukung Keputusan Untuk Memilih BTS (Base Transceiver Station) Service Terburuk dengan Menerapkan Fuzzy MADM." Building of Informatics, Technology and Science (BITS) 3, no. 1 (2021): 26–30. http://dx.doi.org/10.47065/bits.v3i1.164.

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Information about the performance of a BTS (Base Transceiver Station) is needed to help improve a Network service. But in the selection of a good or bad BTS (Base Transceiver Station) it can be caused by several factors such as Transmission, Power, and Celldown BTS. Therefore we need a system that can provide recommendations using the right method, here are the decision support system methods including Fuzzy Multiple Attribute Decision Making TOPSIS. The TOPSIS method uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest

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Rytsar, Bohdan Ye, and Artem O. Belovolov. "A New Method of the Logical Functions Minimization in the Polynomial Set-Theoretical Format. «Handshaking» Procedure." Control Systems and Computers, no. 1 (291) (April 2021): 03–14. http://dx.doi.org/10.15407/csc.2021.01.003.

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A new minimization method of logic functions of n variables in polynomial set-theoretical format has been considered. The method based on the so-called “handshaking” procedure. This procedure reflects the iterative polynomial extension of two conjuncterms of different ranks, the Hamming distance between which can be arbitrary. The advantages of the suggested method are illustrated by the examples.

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Tan, Qian-Yun, Cui-Ping Wei, Qi Liu, and Xiang-Qian Feng. "The Hesitant Fuzzy Linguistic TOPSIS Method Based on Novel Information Measures." Asia-Pacific Journal of Operational Research 33, no. 05 (2016): 1650035. http://dx.doi.org/10.1142/s0217595916500354.

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Hesitant fuzzy linguistic term sets (HFLTSs) have attracted lots of attention recently due to their distinguished power and efficiency for dealing with multi-criteria decision making. To extend the applicability of HFLTSs, this paper first presents a more concise comparison formula of hesitant fuzzy linguistic term sets based on probability criterion of uniform distribution and develops novel distance measures considering the hesitance degree. Next, an aggregation scheme is designed to integrate OWD measure into the TOPSIS analysis procedure, in which we calculate different criterion weights a

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Erpolat Taşabat, Semra. "A Novel Multicriteria Decision-Making Method Based on Distance, Similarity, and Correlation: DSC TOPSIS." Mathematical Problems in Engineering 2019 (April 30, 2019): 1–20. http://dx.doi.org/10.1155/2019/9125754.

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Decision-making, briefly defined as choosing the best among the possible alternatives within the possibilities and conditions available, is a far more comprehensive process than instant. While in the decision-making process, there are often a lot of criteria as well as alternatives. In this case, methods referred to as Multicriteria Decision-Making (MCDM) are applied. The main purpose of the methods is to facilitate the decision-maker's job, to guide the decision-maker and help him to make the right decisions if there are too many options. In cases where there are many criteria, effective and

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Liu, Ruiwei, Siqi Hao, Yaping Zhang, Chonghang Xu, Wenjing Li, and Yunrui Mo. "A Novel Strategic Aircraft Track Planning Method Considering Conflict Probability." Aerospace 9, no. 12 (2022): 848. http://dx.doi.org/10.3390/aerospace9120848.

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Generally, air track planning is conducted in real time and takes modified track distance minimization as objective. Next-generation air transport systems provide aircrafts with more flexibility in track planning and more responsibilities in self-separation, which present a great challenge for aircraft optimal track planning, especially in some high-density airspaces and some complex conflict scenarios. This paper proposes a novel aircraft track planning method by taking aircraft conflict probability into consideration. First, the concepts of aircraft potential motion space and the estimation

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Henry-Edwards, A., and M. Tomczak. "Remote detection of water property changes from a time series of oceanographic data." Ocean Science 2, no. 1 (2006): 11–18. http://dx.doi.org/10.5194/os-2-11-2006.

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Abstract. A water mass analysis method based on a constrained minimization technique is developed to derive water property changes in water mass formation regions from oceanographic station data taken at significant distance from the formation regions. The method is tested with two synthetic data sets, designed to mirror conditions in the North Atlantic at the Bermuda BATS time series station. The method requires careful definition of constraints before it produces reliable results. It is shown that an analysis of the error fields under different constraint assumptions can identify which prope

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Henry-Edwards, A., and M. Tomczak. "Remote detection of water property changes from a time series of oceanographic data." Ocean Science Discussions 2, no. 4 (2005): 399–415. http://dx.doi.org/10.5194/osd-2-399-2005.

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Abstract. A water mass analysis method based on a constrained minimization technique is developed to derive water property changes in water mass formation regions from oceanographic station data taken at significant distance from the formation regions. The method is tested with two synthetic data sets, designed to mirror conditions in the North Atlantic at the Bermuda BATS time series station. The method requires careful definition of constraints before it produces reliable results. It is shown that an analysis of the error fields under different constraint assumptions can identify which prope

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Kapou, Vasiliki, Stavros T. Ponis, George Plakas, and Eleni Aretoulaki. "An Innovative Layout Design and Storage Assignment Method for Manual Order Picking with Respect to Ergonomic Criteria." Logistics 6, no. 4 (2022): 83. http://dx.doi.org/10.3390/logistics6040083.

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Background: This paper aims to improve the overall performance of manual warehouse Order Picking (OP) processes by proposing an innovative method for designing a picking area layout, and introducing a storage assignment strategy with respect to ergonomics and workers’ physical fatigue. Methods: The proposed method categorizes the available picking slots based on size and ABC analysis. Ιt takes into consideration a set of ergonomic constraints pertinent to the rack heights and travel distance restrictions for each slot type, leading to the assignment of a location to each slot type based on its

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Wang, Shihua, Yanmin Liu, Kangge Zou, Nana Li, and Yaowei Wu. "Multiobjective Particle Swarm Optimization Based on Ideal Distance." Discrete Dynamics in Nature and Society 2022 (April 11, 2022): 1–16. http://dx.doi.org/10.1155/2022/3515566.

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Recently, multiobjective particle swarm optimization (MOPSO) has been widely used in science and engineering, however how to effectively improve the convergence and distribution of the algorithm has always been a hot research topic on multiobjective optimization problems (MOPs). To solve this problem, we propose a multiobjective particle swarm optimization based on the ideal distance (IDMOPSO). In IDMOPSO, the adaptive grid and ideal distance are used to optimize and improve the selection method of global learning samples and the size control strategy of the external archive, and the fine-tuni

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Oviedo, Harry. "Proximal Point Algorithm with Euclidean Distance on the Stiefel Manifold." Mathematics 11, no. 11 (2023): 2414. http://dx.doi.org/10.3390/math11112414.

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In this paper, we consider the problem of minimizing a continuously differentiable function on the Stiefel manifold. To solve this problem, we develop a geodesic-free proximal point algorithm equipped with Euclidean distance that does not require use of the Riemannian metric. The proposed method can be regarded as an iterative fixed-point method that repeatedly applies a proximal operator to an initial point. In addition, we establish the global convergence of the new approach without any restrictive assumption. Numerical experiments on linear eigenvalue problems and the minimization of sums o

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Xia, Meimei, and Zeshui Xu. "A Novel Method for Fuzzy Multi-Criteria Decision Making." International Journal of Information Technology & Decision Making 13, no. 03 (2014): 497–519. http://dx.doi.org/10.1142/s0219622014500205.

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To determine the weight vector and to aggregate the individual opinions are necessary steps in the classical methods for multi-criteria group decision-making problems in which the weight vectors of the decision makers and the criteria are incompletely known. In this paper, we propose a simple but efficient approach which can avoid these steps by establishing some optimal models. To get the optimal group decision matrix, we first propose two kinds of models among which the former focuses on minimizing the deviations between individual decision matrix and the ideal group one, while the latter ai

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Lee, Sunghae, and Sangchul Kim. "A Method for Assigning Clients to Servers for the Minimization of Client-Server Distance Deviation." Journal of Korea Game Society 16, no. 3 (2016): 97–108. http://dx.doi.org/10.7583/jkgs.2016.16.3.97.

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Chan, Wesley P., Matthew K. X. J. Pan, Elizabeth A. Croft, and Masayuki Inaba. "An Affordance and Distance Minimization Based Method for Computing Object Orientations for Robot Human Handovers." International Journal of Social Robotics 12, no. 1 (2019): 143–62. http://dx.doi.org/10.1007/s12369-019-00546-7.

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Handoko, Henrycus Baik. "Decision Support System for Determination of Water Supply Distribution Decisions Using the Technique for Order Preference Method by Similarity to Ideal Solution (TOPSIS)." Jurnal Mandiri IT 10, no. 1 (2021): 14–22. http://dx.doi.org/10.35335/mandiri.v10i1.99.

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The Water Supply Decision Support System is a computer-based information system that can be used to help support the quality of human life in terms of providing clean water. In this system, the results will be in the form of priority decisions for the provision of clean water for each candidate area. In the Social Service Office of Sragen Regency itself, there are criteria in determining decisions according to the results of the proposals submitted by each regional candidate including the number of families who need clean water (KK), the number of people in each region (SOUL), the number of wa

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