Relevant bibliographies by topics / Optimization-based modeling

Academic literature on the topic 'Optimization-based modeling'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Optimization-based modeling.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Optimization-based modeling"

1

Miftari, Bardhyl, Mathias Berger, Hatim Djelassi, and Damien Ernst. "GBOML: Graph-Based Optimization Modeling Language." Journal of Open Source Software 7, no. 72 (April 22, 2022): 4158. http://dx.doi.org/10.21105/joss.04158.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Windmann, Andreas, Juraj Šimko, and Petra Wagner. "Optimization-based modeling of speech timing." Speech Communication 74 (November 2015): 76–92. http://dx.doi.org/10.1016/j.specom.2015.09.007.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Song, Hui, Eun-Sung Gil, Kwan-Ho Chun, and Sang-Ho Park. "Modeling and Optimization of Active Power Filter Based on a Switched Linear System." Journal of Clean Energy Technologies 5, no. 6 (November 2017): 443–47. http://dx.doi.org/10.18178/jocet.2017.5.6.413.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Tontchev, Nikolay, and Martin Ivanov. "MODELING AND OPTIMIZATION OF THE COMPOSITION OF IRON-BASED ALLOYS BY APPROXIMATION WITH NEURAL MODELS AND GENETIC OPTIMIZATION ALGORITHM." FBIM Transactions 2, no. 1 (January 15, 2014): 1–12. http://dx.doi.org/10.12709/fbim.02.02.01.01.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Queipo, Nestor V., Javier V. Goicochea, and Salvador Pintos. "Surrogate modeling-based optimization of SAGD processes." Journal of Petroleum Science and Engineering 35, no. 1-2 (July 2002): 83–93. http://dx.doi.org/10.1016/s0920-4105(02)00167-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhao, Dongbin, Yi Shen, Zhanshan Wang, and Xiaolin Hu. "Data-based control, optimization, modeling and applications." Neural Computing and Applications 23, no. 7-8 (January 4, 2013): 1839–42. http://dx.doi.org/10.1007/s00521-012-1319-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yang, Shu, San Kiang, Parham Farzan, and Marianthi Ierapetritou. "Optimization of Reaction Selectivity Using CFD-Based Compartmental Modeling and Surrogate-Based Optimization." Processes 7, no. 1 (December 29, 2018): 9. http://dx.doi.org/10.3390/pr7010009.

Full text
Abstract:
Mixing is considered as a critical process parameter (CPP) during process development due to its significant influence on reaction selectivity and process safety. Nevertheless, mixing issues are difficult to identify and solve owing to their complexity and dependence on knowledge of kinetics and hydrodynamics. In this paper, we proposed an optimization methodology using Computational Fluid Dynamics (CFD) based compartmental modelling to improve mixing and reaction selectivity. More importantly, we have demonstrated that through the implementation of surrogate-based optimization, the proposed methodology can be used as a computationally non-intensive way for rapid process development of reaction unit operations. For illustration purpose, reaction selectivity of a process with Bourne competitive reaction network is discussed. Results demonstrate that we can improve reaction selectivity by dynamically controlling rates and locations of feeding in the reactor. The proposed methodology incorporates mechanistic understanding of the reaction kinetics together with an efficient optimization algorithm to determine the optimal process operation and thus can serve as a tool for quality-by-design (QbD) during product development stage.
APA, Harvard, Vancouver, ISO, and other styles
8

Abdel-Malek, K., Z. Mi, J. Yang, and K. Nebel. "Optimization-Based Layout Design." Applied Bionics and Biomechanics 2, no. 3-4 (2005): 187–96. http://dx.doi.org/10.1155/2005/285756.

Full text
Abstract:
The layout problem is of importance to ergonomists, vehicle/cockpit packaging engineers, designers of manufacturing assembly lines, designers concerned with the placement of levers, knobs, controls, etc. in the reachable workspace of a human, and also to users of digital human modeling code, where digital prototyping has become a valuable tool. This paper proposes a hybrid optimization method (gradient-based optimization and simulated annealing) to obtain the layout design. We implemented the proposed algorithm for a project at Oral-B Laboratories, where a manufacturing cell involves an operator who handles three objects, some with the left hand, others with the right hand.
APA, Harvard, Vancouver, ISO, and other styles
9

Liubogoshchev, Mikhail, Kamila Ragimova, Andrey Lyakhov, Siyu Tang, and Evgeny Khorov. "Adaptive Cloud-Based Extended Reality: Modeling and Optimization." IEEE Access 9 (2021): 35287–99. http://dx.doi.org/10.1109/access.2021.3062555.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wang, Tianyou, Yongtai Lin, Yinglan Liang, Tao Yang, and Yuhan Li. "Chemical Synthesis Data Modeling Based on Mathematical Optimization." Wireless Communications and Mobile Computing 2022 (June 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/9538852.

Full text
Abstract:
As one of the most important high value-added raw materials in the chemical industry, the synthesis of C4 Olefin by ethanol coupling was of great significance in the field of the chemical industry. Different catalysts and various conditions have different effects on the chemical reaction. This paper is based on the relevant data set. Firstly, Pearson and Spearman correlation coefficient method and corresponding hypothesis test are used to get the influence of different catalysts on the chemical reaction. Ethanol conversion and C4 Olefin selectivity are positively correlated with temperature. Secondly, a multivariate linear regression model with significant core variables is constructed to investigate the effects of catalyst combination and temperature on ethanol conversion and C4 Olefin selectivity. It can be concluded that the ethanol concentration is greatly affected by temperature and CO loading, and there is a positive and negative correlation between ethanol concentration and CO loading. The selectivity of C4 Olefin is affected by temperature and is positively correlated with the charge ratio of CO/SiO2 and HAP. Finally, by using a multiple regression equation and simulated annealing model, it can be obtained that when the loading of CO is 4.75 wt%, the loading ratio of CO/SiO2 and HAP is 1 : 1.4242, the concentration of ethanol is 0.3658 ml/min, and the temperature is 448.21°C, the loading ratio of CO/SiO2 and HAP is 1 : 1.4242, the concentration of ethanol is 0.3658 ml/min, and the temperature is 448.21°C, the yield of C4 Olefin can reach a higher value.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Optimization-based modeling"

1

Akhlagi, Ali. "A Modelica-based framework for modeling and optimization of microgrids." Thesis, KTH, Energiteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263037.

Full text
Abstract:
Microgrids have lately drawn much attention due to their considerable financial benefits and the increasing concerns about environmental issues. A solution that can address different engineering problems - from design to operation - is desired for practical reasons and to ensure consistency of the analyses. In this thesis, the capabilities of a Modelicabased framework is investigated for various microgrid optimization problems. Various sizing and scheduling problems are successfully formulated and optimized using nonlinear and physical component models, covering both electrical and thermal domains. Another focus of the thesis is to test the optimization platform when varying the problem formulation; performance and robustness tests have been performed with different boundary conditions and system setups. The results show that the technology can effectively handle complex scheduling strategies such as Model Predictive Control and Demand Charge Management. In sizing problems, although the platform can efficiently size the components while simultaneously solving for the economical load dispatch for short horizons (weekly or monthly), the implemented approach would require adaptations to become efficient on longer horizons (yearly).
APA, Harvard, Vancouver, ISO, and other styles
2

Yaoumi, Mohamed. "Energy modeling and optimization of protograph-based LDPC codes." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0224.

Full text
Abstract:
Il existe différents types de codes correcteur d’erreurs (CCE), chacun offrant différents compromis entre la performance et la consommation d’énergie. Nous proposons de traiter ce problème pour les codes LDPC (Low-Density Parity Check). Dans ce travail, nous avons considéré les codes LDPC construits à partir de protographes avec un décodeur Min-Sum quantifié, pour leurs bonnes performances et leur implémentation matérielle efficace. Nous avons utilisé une méthode basée sur l’évolution de densité pour évaluer les performances à longueur finie du décodeur pour un protographe donné. Ensuite, nous avons introduit deux modèles pour estimer la consommation d’énergie du décodeur Min-Sum quantifié. A partir de ces modèles, nous avons développé une méthode d’optimisation afin de sélectionner des protographes qui minimisent la consommation d’énergie du décodeur tout en satisfaisant un critère de performance donné.Dans la seconde partie de la thèse, nous avons considéré un décodeur LDPC bruité, et nous avons supposé que le circuit introduit des défauts dans les unités de mémoire utilisées par le décodeur. Nous avons ensuite mis à jour le modèle d’énergie de la mémoire afin de prendre en compte le bruit dans le décodeur. Par conséquent, nous avons proposé une méthode alternative afin d’optimiser les paramètres du modèle et minimiser la consommation d’énergie du décodeur pour un protographe donné
There are different types of error correction codes (CCE), each of which gives different trade-offs interms of decoding performanceand energy consumption. We propose to deal with this problem for Low-Density Parity Check (LDPC) codes. In this work, we considered LDPC codes constructed from protographs together with a quantized Min-Sum decoder, for their good performance and efficient hardware implementation. We used a method based on Density Evolution to evaluate the finite-length performance of the decoder for a given protograph.Then, we introduced two models to estimate the energy consumption of the quantized Min-Sum decoder. From these models, we developed an optimization method in order to select protographs that minimize the decoder energy consumption while satisfying a given performance criterion. The proposed optimization method was based on a genetic algorithm called differential evolution. In the second part of the thesis, we considered a faulty LDPC decoder, and we assumed that the circuit introduces some faults in the memory units used by the decoder. We then updated the memory energy model so as to take into account the noise in the decoder. Therefore, we proposed an alternate method in order to optimize the model parameters so as to minimize the decoder energy consumption for a given protograph
APA, Harvard, Vancouver, ISO, and other styles
3

Moore, Roxanne Adele. "Value-based global optimization." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44750.

Full text
Abstract:
Computational models and simulations are essential system design tools that allow for improved decision making and cost reductions during all phases of the design process. However, the most accurate models are often computationally expensive and can therefore only be used sporadically. Consequently, designers are often forced to choose between exploring many design alternatives with less accurate, inexpensive models and evaluating fewer alternatives with the most accurate models. To achieve both broad exploration of the alternatives and accurate determination of the best alternative with reasonable costs incurred, surrogate modeling and variable accuracy modeling are used widely. A surrogate model is a mathematically tractable approximation of a more expensive model based on a limited sampling of that model, while variable accuracy modeling involves a collection of different models of the same system with different accuracies and computational costs. As compared to using only very accurate and expensive models, designers can determine the best solutions more efficiently using surrogate and variable accuracy models because obviously poor solutions can be eliminated inexpensively using only the less expensive, less accurate models. The most accurate models are then reserved for discerning the best solution from the set of good solutions. In this thesis, a Value-Based Global Optimization (VGO) algorithm is introduced. The algorithm uses kriging-like surrogate models and a sequential sampling strategy based on Value of Information (VoI) to optimize an objective characterized by multiple analysis models with different accuracies. It builds on two primary research contributions. The first is a novel surrogate modeling method that accommodates data from any number of analysis models with different accuracies and costs. The second contribution is the use of Value of Information (VoI) as a new metric for guiding the sequential sampling process for global optimization. In this manner, the cost of further analysis is explicitly taken into account during the optimization process. Results characterizing the algorithm show that VGO outperforms Efficient Global Optimization (EGO), a similar global optimization algorithm that is considered to be the current state of the art. It is shown that when cost is taken into account in the final utility, VGO achieves a higher utility than EGO with statistical significance. In further experiments, it is shown that VGO can be successfully applied to higher dimensional problems as well as practical engineering design examples.
APA, Harvard, Vancouver, ISO, and other styles
4

Clough, Joshua Alan. "Modeling and optimization of turbine-based combined-cycle engine performance." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/2094.

Full text
Abstract:
Thesis (M.S.) -- University of Maryland, College Park, 2004.
Thesis research directed by: Dept. of Aerospace Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
APA, Harvard, Vancouver, ISO, and other styles
5

Lam, Remi Roger Alain Paul. "Surrogate modeling based on statistical techniques for multi-fidelity optimization." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90673.

Full text
Abstract:
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 71-74).
Designing and optimizing complex systems generally requires the use of numerical models. However, it is often too expensive to evaluate these models at each step of an optimization problem. Instead surrogate models can be used to explore the design space, as they are much cheaper to evaluate. Constructing a surrogate becomes challenging when different numerical models are used to compute the same quantity, but with different levels of fidelity (i.e., different levels of uncertainty in the models). In this work, we propose a method based on statistical techniques to build such a multi-fidelity surrogate. We introduce a new definition of fidelity in the form of a variance metric. This variance is characterized by expert opinion and can vary across the design space. Gaussian processes are used to create an intermediate surrogate for each model. The uncertainty of each intermediate surrogate is then characterized by a total variance, combining the posterior variance of the Gaussian process and the fidelity variance. Finally, a single multi-fidelity surrogate is constructed by fusing all the intermediate surrogates. One of the advantages of the approach is the multi-fidelity surrogate capability of integrating models whose fidelity changes over the design space, thus relaxing the common assumption of hierarchical relationships among models. The proposed approach is applied to two aerodynamic examples: the computation of the lift coefficient of a NACA 0012 airfoil in the subsonic regime and of a biconvex airfoil in both the subsonic and the supersonic regimes. In these examples, the multi-fidelity surrogate mimics the behavior of the higher fidelity samples where available, and uses the lower fidelity points elsewhere. The proposed method is also able to quantify the uncertainty of the multi-fidelity surrogate and identify whether the fidelity or the sampling is the principal source of this uncertainty.
by Rémi Lam.
S.M.
APA, Harvard, Vancouver, ISO, and other styles
6

Paul, Ratnadeep. "Modeling and Optimization of Powder Based Additive Manufacturing (AM) Processes." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113813.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bracey, Marcus J. "Dynamic Modeling of Thermal Management System with Exergy Based Optimization." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1503682474459341.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Oremland, Matthew Scott. "Techniques for mathematical analysis and optimization of agent-based models." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/25138.

Full text
Abstract:
Agent-based models are computer simulations in which entities (agents) interact with each other and their environment according to local update rules. Local interactions give rise to global dynamics. These models can be thought of as in silico laboratories that can be used to investigate the system being modeled. Optimization problems for agent-based models are problems concerning the optimal way of steering a particular model to a desired state. Given that agent-based models have no rigorous mathematical formulation, standard analysis is difficult, and traditional mathematical approaches are often intractable. This work presents techniques for the analysis of agent-based models and for solving optimization problems with such models. Techniques include model reduction, simulation optimization, conversion to systems of discrete difference equations, and a variety of heuristic methods. The proposed strategies are novel in their application; results show that for a large class of models, these strategies are more effective than existing methods.
Ph. D.
APA, Harvard, Vancouver, ISO, and other styles
9

Steffensen, Martin-Alexander. "Maritime fleet size and mix problems : An optimization based modeling approach." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18759.

Full text
Abstract:
This master thesis addresses the maritime fleet size and mix problem (MFSMP). Finding the optimal fleet size and mix of ships for future needs is arguably the single most important decision of a ship owner. This thesis has examined the accuracy with which a developed mathematical formulation of the problem is at predicting fleet demand under various conditions. The FSM model that has been studied is an extension of a model already established by the MARFLIX project. Because of the thesis link to the MARFLIX project, the considered shipping segment is deep-sea Ro-Ro. For testing how accurate the FSM model is at creating a fleet that can handle complex routing constraints a deployment model has been developed. The consistency of the model under different time frames, varying bunker costs and effects of using continuous instead of integer variables in the FSM model was also tested.The major findings of the work was that the fleet proposed by the the FSM model, in its current form, often is undersized. The fleet size and mix problem is usually considered a strategic problem, with time horizons up to several years. However, this particular model performed better for shorter time frames. Using continuous variables on the different trips undertaken by the fleet proved to have little impact on the fleet composition, but the loss of a vessel could occur. The method proved, however, to be significantly faster than the using integer variables. Changes in the cost of fuel had immense impact on the fleet composition, and one should always be clear on the effects of fluctuations in fuel costs have on a fleet. In general, when the price increased the fleet got larger and slow steamed a larger portion of the fleet.Further work should be made on improving the routing capabilities of the FSM model. In its present form the model cannot be relied upon as the only means for establishing the actual optimal fleet. It can, however, be used as a guidance
APA, Harvard, Vancouver, ISO, and other styles
10

Valentine, Jane E. "Modeling and optimization of a MEMS membrane-based acoustic-wave biosensor." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/227.

Full text
Abstract:
Rapid, reliable, and inexpensive detection of biological and chemical species is highly advantageous in numerous situations. The ability to simultaneously detect multiple targets, for example in medical or environmental testing settings, in areas where modern laboratory equipment is not widely available, is especially desirable. The combination of acoustic wave sensing and MicroElectroMechanical Systems (MEMS) technology leads to a sensor with these capabilities. In this thesis we describe the modeling and optimization of such a membrane-based acoustic wave MEMS biosensor. Starting from an analytical model of the vibration behavior of an unloaded membrane, we model the vibration behavior of a mass-loaded membrane both computationally (using Finite Element Methods) and by using matrix perturbation analysis to develop a computationally efficient approximate analytical solution. Comparing the two methods, we find that our two models show excellent agreement for the range of mass loadings we expect to see. We then note that we can alter sensor performance by controlling the placement of chemically or biologically functionalized regions on the membrane. Our approximate analytical model lets us efficiently predict the effects of functionalization geometries, and so we can optimize performance according to a number of metrics. We develop several optimization objectives to take advantage of our ability to control sensitivity and to multiplex. We develop precise formulations for the objective functions and for constraints, both physical and design-related. We then solve our optimization problems using two complementary methods. The first is an analytical approach we developed, which is feasible for simpler problems, while the second is a stochastic optimization routine using genetic algorithms for more complex problems. Using this method we were able to confirm the solutions given by our analytical approach, and find solutions for more complicated optimization problems. Our solutions allow us to examine the tradeoffs involved in deciding where to place regions of added mass, including tradeoffs between patches and between modes. This helps to elucidate the dynamics of our system, and raises questions for further research. Finally we discuss future research directions, including further optimization possibilities for single sensors as well as for systems of multiple sensors.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Optimization-based modeling"

1

Koziel, Slawomir, and Leifur Leifsson, eds. Surrogate-Based Modeling and Optimization. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Harik, Vasyl Michael. Optimization of designs for nanotube-based scanning probes. Hampton, VA: ICASE, NASA Langley Research Center, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Mathematical modeling and optimization: An essay for the design of computer-based modeling tools. Dordrecht: Kluwer Academic, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Hürlimann, Tony. Mathematical Modeling and Optimization: An Essay for the Design of Computer-Based Modeling Tools. Boston, MA: Springer US, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bither, Cheryl Ann. A modeling strategy for large-scale optimization based on analysis and visualization principles. Monterey, Calif: Naval Postgraduate School, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Efremov, German. Modeling of chemical and technological processes. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1090526.

Full text
Abstract:
In an accessible form, the textbook presents the theoretical foundations of physical and mathematical modeling; considers the modeling of mass, heat and momentum transfer processes, the relationship and analogy between them; studies the theory of similarity, its application in modeling, models of the structure of flows in apparatuses. Experimental-statistical and experimental-analytical modeling methods are also described, which include "black box" methods, planning passive, active full and fractional factor experiments, and adjusting models based on the results of the experiment. At the same time, modeling of chemical reactors, methods of optimization of chemical-technological processes, their selection, comparison and application examples are considered. Examples of modeling and optimization of processes in chemical, petrochemical and biotechnology on a computer in Excel and MathCAD environments are given. The appendices provide the basics of working in the MathCAD environment and elements of matrix algebra. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is intended for bachelors who are trained for the chemical, petrochemical, food, textile and light industries. It can be useful for specialists and undergraduates, as well as for scientists, engineers and postgraduates dealing with the problem under consideration.
APA, Harvard, Vancouver, ISO, and other styles
7

Chemodurov, Vladimir, and Ella Litvinova. Physical and mathematical modeling of building systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014191.

Full text
Abstract:
Physical and mathematical modeling is widely used in scientific research. This is due to the fact that field experiments on real construction sites are often impossible to organize for various reasons. The material included in the textbook is a summary of the authors ' experience in the field of system analysis. In the first section, the regularities of physical modeling of the functioning of objects based on the similarity and dimension theorems are considered. The second section presents modern models and methods for choosing optimal solutions: linear, nonlinear, stochastic, and statistical. The third section deals with experimental methods of system optimization based on the theory of experimental planning. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the direction of training 08.04.01 "Construction", and graduate students of higher educational institutions. It will be useful for specialists in the field of mathematical methods for the study of complex systems and their applications.
APA, Harvard, Vancouver, ISO, and other styles
8

de Sousa, Jorge Freire, and Riccardo Rossi, eds. Computer-based Modelling and Optimization in Transportation. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04630-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Beulens, Adriaan Jacobus Maria, and Hans-Jürgen Sebastian, eds. Optimization-Based Computer-Aided Modelling and Design. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/bfb0040130.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

Full text
Abstract:
Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the basis of the passive experiment, predictive model of quantitative estimation of the copper content in the matte based on fuzzy logic. Of interest to students, postgraduates, teachers of technical universities, engineers and research workers who use mathematical methods for processing of data of laboratory and industrial experiments.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Optimization-based modeling"

1

Beroggi, Giampiero E. G. "Constraint-Based Policy Optimization." In Decision Modeling in Policy Management, 264–333. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5599-5_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Yang, Xin-She. "Engineering Optimization and Industrial Applications." In Surrogate-Based Modeling and Optimization, 393–412. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hassan, Abdel-Karim S. O., and Ahmed S. A. Mohamed. "Surrogate-Based Circuit Design Centering." In Surrogate-Based Modeling and Optimization, 27–49. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Strobel, Rainer. "Framing-Based Optimization." In Channel Modeling and Physical Layer Optimization in Copper Line Networks, 103–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91560-9_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Koziel, Slawomir, Leifur Leifsson, and Stanislav Ogurtsov. "Space Mapping for Electromagnetic-Simulation-Driven Design Optimization." In Surrogate-Based Modeling and Optimization, 1–25. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Leifsson, Leifur, Slawomir Koziel, Eirikur Jonsson, and Stanislav Ogurtsov. "Aerodynamic Shape Optimization by Space Mapping." In Surrogate-Based Modeling and Optimization, 213–45. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhang, Yi, and Serhat Hosder. "Efficient Robust Design with Stochastic Expansions." In Surrogate-Based Modeling and Optimization, 247–84. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ulaganathan, Selvakumar, and Nikolaos Asproulis. "Surrogate Models for Aerodynamic Shape Optimisation." In Surrogate-Based Modeling and Optimization, 285–312. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Xu, Qian, Erich Wehrle, and Horst Baier. "Knowledge-Based Surrogate Modeling in Engineering Design Optimization." In Surrogate-Based Modeling and Optimization, 313–36. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Worden, Keith, Elizabeth J. Cross, and James M. W. Brownjohn. "Switching Response Surface Models for Structural Health Monitoring of Bridges." In Surrogate-Based Modeling and Optimization, 337–58. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Optimization-based modeling"

1

Xiang, Y., H. J. Chung, A. Mathai, S. Rahmatalla, J. Kim, T. Marler, S. Beck, et al. "Optimization-based Dynamic Human Walking Prediction." In 2007 Digital Human Modeling Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-2489.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Yongxian, and Jiazhong Li. "Swarm Intelligence Optimization Algorithm Based on Orthogonal Optimization." In 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.326.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Xiang, Yujiang, Salam Rahmatalla, Hyun-Joon Chung, Joo Kim, Rajankumar Bhatt, Anith Mathai, Steve Beck, et al. "Optimization-based Dynamic Human Lifting Prediction." In Digital Human Modeling for Design and Engineering Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2008. http://dx.doi.org/10.4271/2008-01-1930.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Jordan, Michael. "On Gradient-Based Optimization." In SIGMETRICS '17: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3078505.3078506.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Jinkai Li and Yun Pan. "Research of network coding resources optimization based on ant colony optimization." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5623246.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Queipo, Nestor V., Javier V. Goicochea P., and Salvador Pintos. "Surrogate Modeling-Based Optimization of SAGD Processes." In SPE International Thermal Operations and Heavy Oil Symposium. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/69704-ms.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Mai, Luu, and Duy-Liem Nguyen. "Density-Based Optimization for Strut-Tie Modeling." In 2018 4th International Conference on Green Technology and Sustainable Development (GTSD). IEEE, 2018. http://dx.doi.org/10.1109/gtsd.2018.8595692.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sturtz, Kirk, Gregory Arnold, and Matthew Ferrara. "DC optimization modeling for shape-based recognition." In SPIE Defense, Security, and Sensing, edited by Edmund G. Zelnio and Frederick D. Garber. SPIE, 2009. http://dx.doi.org/10.1117/12.820293.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Liu, Nan, and Souran Manoochehri. "Reliability-Based MEMS System Modeling and Optimization." In 2006 IEEE International Reliability Physics Symposium Proceedings. IEEE, 2006. http://dx.doi.org/10.1109/relphy.2006.251252.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Jalving, Jordan. "Graph-Based Modeling and Optimization using Plasmo.jl." In Proposed for presentation at the INFORMS Annual Meeting held October 24-27, 2021 in Anaheim, CA United States. US DOE, 2021. http://dx.doi.org/10.2172/1886766.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Optimization-based modeling"

1

Shao, Guodong, David Westbrook, and Alexander Brodsky. A prototype web-based user interface for sustainability modeling and optimization. Gaithersburg, MD: National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7850.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0739.

Full text
Abstract:
The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.
APA, Harvard, Vancouver, ISO, and other styles
3

Tuller, Markus, Asher Bar-Tal, Hadar Heller, and Michal Amichai. Optimization of advanced greenhouse substrates based on physicochemical characterization, numerical simulations, and tomato growth experiments. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600009.bard.

Full text
Abstract:
Over the last decade there has been a dramatic shift in global agricultural practice. The increase in human population, especially in underdeveloped arid and semiarid regions of the world, poses unprecedented challenges to production of an adequate and economically feasible food supply to undernourished populations. Furthermore, the increased living standard in many industrial countries has created a strong demand for high-quality, out-of-season vegetables and fruits as well as for ornamentals such as cut and potted flowers and bedding plants. As a response to these imminent challenges and demands and because of a ban on methyl bromide fumigation of horticultural field soils, soilless greenhouse production systems are regaining increased worldwide attention. Though there is considerable recent empirical and theoretical research devoted to specific issues related to control and management of soilless culture production systems, a comprehensive approach that quantitatively considers all relevant physicochemical processes within the growth substrates is lacking. Moreover, it is common practice to treat soilless growth systems as static, ignoring dynamic changes of important physicochemical and hydraulic properties due to root and microbial growth that require adaptation of management practices throughout the growth period. To overcome these shortcomings, the objectives of this project were to apply thorough physicochemical characterization of commonly used greenhouse substrates in conjunction with state-of-the-art numerical modeling (HYDRUS-3D, PARSWMS) to not only optimize management practices (i.e., irrigation frequency and rates, fertigation, container size and geometry, etc.), but to also “engineer” optimal substrates by mixing organic (e.g., coconut coir) and inorganic (e.g., perlite, pumice, etc.) base substrates and modifying relevant parameters such as the particle (aggregate) size distribution. To evaluate the proposed approach under commercial production conditions, characterization and modeling efforts were accompanied by greenhouse experiments with tomatoes. The project not only yielded novel insights regarding favorable physicochemical properties of advanced greenhouse substrates, but also provided critically needed tools for control and management of containerized soilless production systems to provide a stress-free rhizosphere environment for optimal yields, while conserving valuable production resources. Numerical modeling results provided a more scientifically sound basis for the design of commercial greenhouse production trials and selection of adequate plant-specific substrates, thereby alleviating the risk of costly mistrials.
APA, Harvard, Vancouver, ISO, and other styles
4

Howard, Heidi, Chad Helmle, Raina Dwivedi, and Daniel Gambill. Stormwater Management and Optimization Toolbox. Engineer Research and Development Center (U.S.), January 2021. http://dx.doi.org/10.21079/11681/39480.

Full text
Abstract:
As stormwater regulations for hydrologic and water quality control become increasingly stringent, Department of Defense (DoD) facilities are faced with the daunting task of complying with multiple laws and regulations. This often requires facilities to plan, design, and implement structural best management practices (BMPs) to capture, filter, and/or infiltrate runoff—requirements that can be complicated, contradictory, and difficult to plan. This project demonstrated the Stormwater Management Optimization Toolbox (SMOT), a spreadsheet-based tool that effectively analyzes and plans for compliance to the Energy Independence and Security Act (EISA) of 2007 pre-hydrologic conditions through BMP implementation, resulting in potential cost savings by reducing BMP sizes while simultaneously achieving compliance with multiple objectives. SMOT identifies the most cost-effective modeling method based on an installation’s local conditions (soils, rainfall patterns, drainage network, and regulatory requirements). The work first demonstrated that the Model Selection Tool (MST) recommendation accurately results in the minimum BMP cost for 45 facilities of widely varying climatic and regional conditions, and then demonstrated SMOT at two facilities.
APA, Harvard, Vancouver, ISO, and other styles
5

Baker, Justin S., George Van Houtven, Yongxia Cai, Fekadu Moreda, Chris Wade, Candise Henry, Jennifer Hoponick Redmon, and A. J. Kondash. A Hydro-Economic Methodology for the Food-Energy-Water Nexus: Valuation and Optimization of Water Resources. RTI Press, May 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0044.2105.

Full text
Abstract:
Growing global water stress caused by the combined effects of growing populations, increasing economic development, and climate change elevates the importance of managing and allocating water resources in ways that are economically efficient and that account for interdependencies between food production, energy generation, and water networks—often referred to as the “food-energy-water (FEW) nexus.” To support these objectives, this report outlines a replicable hydro-economic methodology for assessing the value of water resources in alternative uses across the FEW nexus–including for agriculture, energy production, and human consumption—and maximizing the benefits of these resources through optimization analysis. The report’s goal is to define the core elements of an integrated systems-based modeling approach that is generalizable, flexible, and geographically portable for a range of FEW nexus applications. The report includes a detailed conceptual framework for assessing the economic value of water across the FEW nexus and a modeling framework that explicitly represents the connections and feedbacks between hydrologic systems (e.g., river and stream networks) and economic systems (e.g., food and energy production). The modeling components are described with examples from existing studies and applications. The report concludes with a discussion of current limitations and potential extensions of the hydro-economic methodology.
APA, Harvard, Vancouver, ISO, and other styles
6

Sanz, Asier`. Numerical simulation tools for PVT collectors and systems. IEA SHC Task 60, September 2020. http://dx.doi.org/10.18777/ieashc-task60-2020-0006.

Full text
Abstract:
The computer-based experimentation covers almost the entire activity chain of the PVT sector. The PVT community carries out very different kind of modelling and simulation labours in order to answer to very diverse needs, such as proof-of-concepts, research, design, sizing, controlling, optimization, validation, marketing, sales, O&M, etc.
APA, Harvard, Vancouver, ISO, and other styles
7

Matus, Sean, and Daniel Gambill. Automation of gridded HEC-HMS model development using Python : initial condition testing and calibration applications. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46126.

Full text
Abstract:
The US Army Corps of Engineers’s (USACE) Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) rainfall-runoff model is widely used within the research community to develop both event-based and continuous rainfall-runoff models. The soil moisture accounting (SMA) algorithm is commonly used for long-term simulations. Depending on the final model setup, 12 to 18 parameters are needed to characterize the modeled watershed’s canopy, surface, soil, and routing processes, all of which are potential calibration parameters. HEC-HMS includes optimization tools to facilitate model calibration, but only initial conditions (ICs) can be calibrated when using the gridded SMA algorithm. Calibrating a continuous SMA HEC-HMS model is an iterative process that can require hundreds of simulations, a time intensive process requiring automation. HEC-HMS is written in Java and is predominantly run through a graphical user interface (GUI). As such, conducting a long-term gridded SMA calibration is infeasible using the GUI. USACE Construction Engineering Research Laboratory (CERL) has written a workflow that utilizes the existing Jython application programming interface (API) to batch run HEC-HMS simulations with Python. The workflow allows for gridded SMA HEC-HMS model sensitivity and calibration analyses to be conducted in a timely manner.
APA, Harvard, Vancouver, ISO, and other styles
8

An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0741.

Full text
Abstract:
Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for this one control input. This paper presents a novel model based on an input linearizing transformation. It is demonstrably superior to alternative model forms, in that the core dynamics of the model (battery state of energy) are linear, and the non-linearities of the model are pushed into the inputs and outputs in a Wiener/Hammerstein form. The output non-linearities can be approximated using a quadratic model, which creates a problem in the linear-quadratic framework. This facilitates the direct application of linear control approaches such as LQR control, predictive control, or Model Predictive Control (MPC). The paper demonstrates the approach using the ELectrified Vehicle library for sImulation and Optimization (ELVIO). It is an open-source MATLAB/Simulink library designed for the quick and easy simulation and optimization of different powertrain and drivetrain architectures. It follows a modelling methodology that combines backward-facing and forward-facing signal path, which means that no driver model is required. The results show that the approximated solution provides a performance that is very close to the solution of the original problem except for extreme parts of the operating range (in which case the solution tends to be driven by constraints anyway).
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Optimization-based modeling' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography