Optimization Simulation And Control

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Optimization, Simulation and Control

Author : Rentsen Enkhbat,Altannar Chinchuluun,Panos M. Pardalos
Publisher : Springer Nature
Page : 202 pages
File Size : 48,5 Mb
Release : 2023-12-01
Category : Mathematics
ISBN : 9783031412295

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Optimization, Simulation and Control by Rentsen Enkhbat,Altannar Chinchuluun,Panos M. Pardalos Pdf

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulation and Control, ICOSC 2022, held at the National University of Mongolia, Ulaanbaatar, June 20–22, 2022. Topics covered include (but are not limited to) mathematical programming; network, global, linear, nonlinear, parametric, stochastic, and multi-objective optimization; control theory; biomathematics; and deep and machine learning, to name a few. Held every three years since 2002, the ICOSC conference has become a traditional gathering for experienced and young researchers in optimization and control to share recent findings in these fields and discuss novel applications in myriad sectors. Researchers and graduate students in the fields of mathematics, engineering, and computer science can greatly benefit from this book, which can also be enjoyed by advanced practitioners in research laboratories and the industry. The 2022 edition of the ICOSC conference was sponsored by the Mongolian Academy of Sciences, the National University of Mongolia and the German-Mongolian Institute for Resources and Technology.

Optimization, Simulation, and Control

Author : Altannar Chinchuluun,Panos M. Pardalos,Rentsen Enkhbat,Efstratios N. Pistikopoulos
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 44,8 Mb
Release : 2012-11-28
Category : Mathematics
ISBN : 9781461451310

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Optimization, Simulation, and Control by Altannar Chinchuluun,Panos M. Pardalos,Rentsen Enkhbat,Efstratios N. Pistikopoulos Pdf

Optimization, simulation and control play an increasingly important role in science and industry. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. This volume brings together the latest developments in these areas of research as well as presents applications of these results to a wide range of real-world problems. The book is composed of invited contributions by experts from around the world who work to develop and apply new optimization, simulation and control techniques either at a theoretical level or in practice. Some key topics presented include: equilibrium problems, multi-objective optimization, variational inequalities, stochastic processes, numerical analysis, optimization in signal processing, and various other interdisciplinary applications. This volume can serve as a useful resource for researchers, practitioners, and advanced graduate students of mathematics and engineering working in research areas where results in optimization, simulation and control can be applied.

Introduction to Stochastic Search and Optimization

Author : James C. Spall
Publisher : John Wiley & Sons
Page : 620 pages
File Size : 53,5 Mb
Release : 2005-03-11
Category : Mathematics
ISBN : 9780471441908

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Introduction to Stochastic Search and Optimization by James C. Spall Pdf

* Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exercises and web links to software and data sets.

Optimization of Photovoltaic Power Systems

Author : Djamila Rekioua,Ernest Matagne
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 55,8 Mb
Release : 2012-01-03
Category : Technology & Engineering
ISBN : 9781447124030

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Optimization of Photovoltaic Power Systems by Djamila Rekioua,Ernest Matagne Pdf

Photovoltaic generation is one of the cleanest forms of energy conversion available. One of the advantages offered by solar energy is its potential to provide sustainable electricity in areas not served by the conventional power grid. Optimisation of Photovoltaic Power Systems details explicit modelling, control and optimisation of the most popular stand-alone applications such as pumping, power supply, and desalination. Each section is concluded by an example using the MATLAB® and Simulink® packages to help the reader understand and evaluate the performance of different photovoltaic systems. Optimisation of Photovoltaic Power Systems provides engineers, graduate and postgraduate students with the means to understand, assess and develop their own photovoltaic systems. As such, it is an essential tool for all those wishing to specialise in stand-alone photovoltaic systems. Optimisation of Photovoltaic Power Systems aims to enable all researchers in the field of electrical engineering to thoroughly understand the concepts of photovoltaic systems; find solutions to their problems; and choose the appropriate mathematical model for optimising photovoltaic energy.

Simulation-Based Optimization

Author : Abhijit Gosavi
Publisher : Springer
Page : 530 pages
File Size : 48,7 Mb
Release : 2014-10-30
Category : Business & Economics
ISBN : 9781489974914

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Simulation-Based Optimization by Abhijit Gosavi Pdf

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms. Key features of this revised and improved Second Edition include: · Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) · Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics · An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata · A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations Themed around three areas in separate sets of chapters – Static Simulation Optimization, Reinforcement Learning and Convergence Analysis – this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.

Hybrid Metaheuristics

Author : Christian Blum,Luca Gaspero,Andrea Roli,Michael Sampels,Andrea Schaerf
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 50,5 Mb
Release : 2009-09-29
Category : Computers
ISBN : 9783642049170

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Hybrid Metaheuristics by Christian Blum,Luca Gaspero,Andrea Roli,Michael Sampels,Andrea Schaerf Pdf

This book constitutes the refereed proceedings of the 6th International Workshop on Hybrid Metaheuristics, HM 2009, held in Udine, Italy, in October 2009. The 12 revised full papers presented together with one invited talk were carefully reviewed and selected from 22 submissions. The papers discuss current issues of combinations of metaheuristics and other solving techniques of universal concern such as novel combinations of components from different metaheuristics, hybridization of metaheuristics and AI/OR techniques, low-level hybridization, high-level hybridization, portfolio techniques, expert systems, cooperative search, automated parameter tuning, empirical and statistical comparison, theoretical aspects of hybridization, parallelization, and software libraries.

Intelligent Systems

Author : Yung C. Shin,Chengying Xu
Publisher : CRC Press
Page : 456 pages
File Size : 42,9 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781420051773

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Intelligent Systems by Yung C. Shin,Chengying Xu Pdf

Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.

Modeling, Stochastic Control, Optimization, and Applications

Author : George Yin,Qing Zhang
Publisher : Springer
Page : 599 pages
File Size : 45,7 Mb
Release : 2019-07-16
Category : Mathematics
ISBN : 9783030254988

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Modeling, Stochastic Control, Optimization, and Applications by George Yin,Qing Zhang Pdf

This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.

Modeling, Control, and Optimization of Natural Gas Processing Plants

Author : William A. Poe,Saeid Mokhatab
Publisher : Gulf Professional Publishing
Page : 300 pages
File Size : 48,5 Mb
Release : 2016-09-09
Category : Technology & Engineering
ISBN : 9780128029817

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Modeling, Control, and Optimization of Natural Gas Processing Plants by William A. Poe,Saeid Mokhatab Pdf

Modeling, Control, and Optimization of Natural Gas Processing Plants presents the latest on the evolution of the natural gas industry, shining a light on the unique challenges plant managers and owners face when looking for ways to optimize plant performance and efficiency, including topics such as the various feed gas compositions, temperatures, pressures, and throughput capacities that keep them looking for better decision support tools. The book delivers the first reference focused strictly on the fast-growing natural gas markets. Whether you are trying to magnify your plants existing capabilities or are designing a new facility to handle more feedstock options, this reference guides you by combining modeling control and optimization strategies with the latest developments within the natural gas industry, including the very latest in algorithms, software, and real-world case studies. Helps users adapt their natural gas plant quickly with optimization strategies and advanced control methods Presents real-world application for gas process operations with software and algorithm comparisons and practical case studies Provides coverage on multivariable control and optimization on existing equipment Allows plant managers and owners the tools they need to maximize the value of the natural gas produced

Computer Modeling for Injection Molding

Author : Huamin Zhou
Publisher : John Wiley & Sons
Page : 40 pages
File Size : 52,7 Mb
Release : 2013-03-04
Category : Technology & Engineering
ISBN : 9780470602997

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Computer Modeling for Injection Molding by Huamin Zhou Pdf

This book covers a wide range of applications and uses of simulation and modeling techniques in polymer injection molding, filling a noticeable gap in the literature of design, manufacturing, and the use of plastics injection molding. The authors help readers solve problems in the advanced control, simulation, monitoring, and optimization of injection molding processes. The book provides a tool for researchers and engineers to calculate the mold filling, optimization of processing control, and quality estimation before prototype molding.

Reduced-Order Modeling (ROM) for Simulation and Optimization

Author : Winfried Keiper,Anja Milde,Stefan Volkwein
Publisher : Springer
Page : 179 pages
File Size : 44,9 Mb
Release : 2018-04-11
Category : Mathematics
ISBN : 9783319753195

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Reduced-Order Modeling (ROM) for Simulation and Optimization by Winfried Keiper,Anja Milde,Stefan Volkwein Pdf

This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.

Matheuristics

Author : Vittorio Maniezzo,Thomas Stützle,Stefan Voß
Publisher : Springer Science & Business Media
Page : 283 pages
File Size : 52,7 Mb
Release : 2009-09-18
Category : Business & Economics
ISBN : 9781441913067

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Matheuristics by Vittorio Maniezzo,Thomas Stützle,Stefan Voß Pdf

Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.

Optimization in Control Applications

Author : Guillermo Valencia-Palomo,Francisco Ronay López-Estrada
Publisher : MDPI
Page : 257 pages
File Size : 55,8 Mb
Release : 2019-01-10
Category : Mathematics
ISBN : 9783038974475

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Optimization in Control Applications by Guillermo Valencia-Palomo,Francisco Ronay López-Estrada Pdf

This book is a printed edition of the Special Issue "Optimization in Control Applications" that was published in MCA

Modeling, Simulation and Optimization

Author : Biplab Das,Ripon Patgiri,Sivaji Bandyopadhyay,Valentina Emilia Balas
Publisher : Springer Nature
Page : 802 pages
File Size : 47,5 Mb
Release : 2021-03-17
Category : Technology & Engineering
ISBN : 9789811598296

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Modeling, Simulation and Optimization by Biplab Das,Ripon Patgiri,Sivaji Bandyopadhyay,Valentina Emilia Balas Pdf

This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization, organized by National Institute of Technology, Silchar, Assam, India, during 3–5 August 2020. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.

Modeling, Simulation, and Optimization

Author : Pandian Vasant,Igor Litvinchev,José Antonio Marmolejo-Saucedo
Publisher : Springer
Page : 129 pages
File Size : 46,9 Mb
Release : 2017-12-07
Category : Technology & Engineering
ISBN : 9783319705422

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Modeling, Simulation, and Optimization by Pandian Vasant,Igor Litvinchev,José Antonio Marmolejo-Saucedo Pdf

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.