Nature Inspired Methods For Stochastic Robust And Dynamic Optimization
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Nature Inspired Methods For Stochastic Robust And Dynamic Optimization
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Author : Javier Del Ser Lorente
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-07-18
Nature Inspired Methods For Stochastic Robust And Dynamic Optimization written by Javier Del Ser Lorente and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-18 with Mathematics categories.
Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.
Dynamic Stochastic Optimization
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Author : Kurt Marti
language : en
Publisher: Springer Science & Business Media
Release Date : 2004
Dynamic Stochastic Optimization written by Kurt Marti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.
This volume considers optimal stochastic decision processes from the viewpoint of stochastic programming. It focuses on theoretical properties and on approximate or numerical solution techniques for time-dependent optimization problems with random parameters (multistage stochastic programs, optimal stochastic decision processes). Methods for finding approximate solutions of probabilistic and expected cost based deterministic substitute problems are presented. Besides theoretical and numerical considerations, the proceedings volume contains selected refereed papers on many practical applications to economics and engineering: risk, risk management, portfolio management, finance, insurance-matters and control of robots.
Prediction Based Nature Inspired Dynamic Optimization
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Author : Almuth Meier
language : en
Publisher:
Release Date : 2020
Prediction Based Nature Inspired Dynamic Optimization written by Almuth Meier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Dynamic optimization problems typically appear in real-world systems underlying environmental influence. Solving this kind of problems requires algorithms considering relationships between problem instances at different points in time. Nature-inspired optimization is frequently used to solve dynamic problems as they store information about past environments in the population by a natural means. In order to circumvent the premature convergence of nature-inspired meta-heuristics in dynamic optimization problems, prediction is one among other approaches. In this thesis, we show that neural networks are a reasonable alternative to commonly used prediction models, suggest variants extending particle swarm optimization by prediction, and propose a new strategy to take into account predictive uncertainty during optimization. In addition, we construct a benchmark generator and a convergence measure that are tailored to the characteristics of prediction-based optimization algorithms.
A Brief Survey On Intelligent Swarm Based Algorithms For Solving Optimization Problems
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Author : Siew Mooi Lim
language : en
Publisher:
Release Date : 2018
A Brief Survey On Intelligent Swarm Based Algorithms For Solving Optimization Problems written by Siew Mooi Lim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Mathematics categories.
This chapter presents an overview of optimization techniques followed by a brief survey on several swarm-based natural inspired algorithms which were introduced in the last decade. These techniques were inspired by the natural processes of plants, foraging behaviors of insects and social behaviors of animals. These swam intelligent methods have been tested on various standard benchmark problems and are capable in solving a wide range of optimization issues including stochastic, robust and dynamic problems.
Data Science And Intelligent Systems
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Author : Radek Silhavy
language : en
Publisher: Springer Nature
Release Date : 2021-11-16
Data Science And Intelligent Systems written by Radek Silhavy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Technology & Engineering categories.
This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results
Frontiers Of Dynamic Games
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Author : Leon A. Petrosyan
language : en
Publisher: Springer Nature
Release Date : 2020-10-31
Frontiers Of Dynamic Games written by Leon A. Petrosyan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-31 with Mathematics categories.
This book includes papers presented at the ISDG12-GTM2019 International Meeting on Game Theory, as a joint meeting of the 12th International ISDG Workshop and the 13th "International Conference on Game Theory and Management”, held in St. Petersburg in July 2019. The topics cover a wide range of game-theoretic models and include both theory and applications, including applications to management.
Combinatorial Optimization Under Uncertainty
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Author : Ritu Arora
language : en
Publisher: CRC Press
Release Date : 2023-05-12
Combinatorial Optimization Under Uncertainty written by Ritu Arora and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-12 with Business & Economics categories.
This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimal production evaluation of cotton in different soil and water conditions, the healthcare sector, intuitionistic fuzzy quadratic programming problem, and multi-objective optimization problem. This book may serve as a valuable reference for researchers working in the domain of optimization for solving combinatorial problems under uncertainty. The contributions of this book may further help to explore new avenues leading toward multidisciplinary research discussions.
Adaptive Stochastic Optimization Techniques With Applications
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Author : James A. Momoh
language : en
Publisher: CRC Press
Release Date : 2015-12-09
Adaptive Stochastic Optimization Techniques With Applications written by James A. Momoh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-09 with Business & Economics categories.
This book presents new trends in optimization methods that can be used to handle the stochastic, predictive nature of large-scale system problems in power and energy. The author provides decision tools and techniques for heuristic optimization and adaptive dynamic programming. He also reviews the latest research in optimization techniques derived from static optimization, decision support tools, and heuristic and adaptive dynamic programming for handling problems with stochastic, predictive, and adaptive behavior. In addition to easy-to-follow algorithms and illustrative engineering examples, the author also includes benchmark problems from power systems using state-of-the-art optimization.
Artificial Intelligence And Bioinspired Computational Methods
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Author : Radek Silhavy
language : en
Publisher: Springer Nature
Release Date : 2020-08-08
Artificial Intelligence And Bioinspired Computational Methods written by Radek Silhavy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-08 with Technology & Engineering categories.
This book gathers the refereed proceedings of the Artificial Intelligence and Bioinspired Computational Methods Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Artificial intelligence and bioinspired computational methods now represent crucial areas of computer science research. The topics presented here reflect the current discussion on cutting-edge hybrid and bioinspired algorithms and their applications.
Artificial Intelligence In Intelligent Systems
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Author : Radek Silhavy
language : en
Publisher: Springer Nature
Release Date : 2021-07-15
Artificial Intelligence In Intelligent Systems written by Radek Silhavy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Technology & Engineering categories.
This book constitutes the refereed proceedings of the artificial intelligence in intelligent systems section of the 10th Computer Science Online Conference 2021 (CSOC 2021), held online in April 2021. Artificial intelligence in intelligent systems topics are presented in this book. Modern hybrid and bio-inspired algorithms and their application are discussed in selected papers.