Optimization Techniques For Problem Solving In Uncertainty
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Optimization Techniques For Problem Solving In Uncertainty
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Author : Tilahun, Surafel Luleseged
language : en
Publisher: IGI Global
Release Date : 2018-06-22
Optimization Techniques For Problem Solving In Uncertainty written by Tilahun, Surafel Luleseged and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-22 with Computers categories.
When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.
Problem Solving And Uncertainty Modeling Through Optimization And Soft Computing Applications
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Author : Saxena, Pratiksha
language : en
Publisher: IGI Global
Release Date : 2016-03-01
Problem Solving And Uncertainty Modeling Through Optimization And Soft Computing Applications written by Saxena, Pratiksha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-01 with Mathematics categories.
Optimization techniques have developed into a modern-day solution for real-world problems in various industries. As a way to improve performance and handle issues of uncertainty, optimization research becomes a topic of special interest across disciplines. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.
Probabilistic And Randomized Methods For Design Under Uncertainty
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Author : Giuseppe Calafiore
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-06
Probabilistic And Randomized Methods For Design Under Uncertainty written by Giuseppe Calafiore 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 2006-03-06 with Technology & Engineering categories.
Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world’s leading experts in a fast-emerging branch of control engineering and operations research. The book will be bought by university researchers and lecturers along with graduate students in control engineering and operational research.
Optimization Of Temporal Networks Under Uncertainty
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Author : Wolfram Wiesemann
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-04
Optimization Of Temporal Networks Under Uncertainty written by Wolfram Wiesemann 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 2012-01-04 with Business & Economics categories.
Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.
Engineering Problems
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Author : Marcos S.G. Tsuzuki
language : en
Publisher: BoD – Books on Demand
Release Date : 2022-10-05
Engineering Problems written by Marcos S.G. Tsuzuki 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 2022-10-05 with Technology & Engineering categories.
This book is based on the concept that optimization, as the core engineering practice, is a bridge to relate the given problem constraints to an acceptable level of uncertainties for the corresponding solution. Over two sections, this book addresses optimization techniques and parameters for engineering problems, corresponding uncertainties in engineering optimization solutions and methods to manage them, and managing uncertainties to support environmental pollution prevention and control.
Optimization And Anti Optimization Of Structures Under Uncertainty
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Author : Isaac Elishakoff
language : en
Publisher: World Scientific
Release Date : 2010
Optimization And Anti Optimization Of Structures Under Uncertainty written by Isaac Elishakoff and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and summarizes various novel ideas, methodologies and results studied over 20 years. The book vividly demonstrates how the concept of uncertainty should be incorporated in a rigorous manner during the process of designing real-world structures. The necessity of anti-optimization approach is first demonstrated, then the anti-optimization techniques are applied to static, dynamic and buckling problems, thus covering the broadest possible set of applications. Finally, anti-optimization is fully utilized by a combination of structural optimization to produce the optimal design considering the worst-case scenario. This is currently the only book that covers the combination of optimization and anti-optimization. It shows how various optimization techniques are used in the novel anti-optimization technique, and how the structural optimization can be exponentially enhanced by incorporating the concept of worst-case scenario, thereby increasing the safety of the structures designed in various fields of engineering.
Stochastic Optimization
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Author : Ioannis Dritsas
language : en
Publisher: IntechOpen
Release Date : 2011-02-28
Stochastic Optimization written by Ioannis Dritsas and has been published by IntechOpen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-28 with Computers categories.
Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty. This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields.
Modern Optimization Methods For Decision Making Under Risk And Uncertainty
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Author : Alexei A. Gaivoronski
language : en
Publisher: CRC Press
Release Date : 2023-10-06
Modern Optimization Methods For Decision Making Under Risk And Uncertainty written by Alexei A. Gaivoronski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Computers categories.
The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems. The articles are the outcome of a series international projects involving the leading scholars in the field of modern stochastic optimization and decision making. The structure of stochastic optimization solvers is described. The solvers in general implement stochastic quasi-gradient methods for optimization and identification of complex nonlinear models. These models constitute an important methodology for finding optimal decisions under risk and uncertainty. While a large part of current approaches towards optimization under uncertainty stems from linear programming (LP) and often results in large LPs of special structure, stochastic quasi-gradient methods confront nonlinearities directly without need of linearization. This makes them an appropriate tool for solving complex nonlinear problems, concurrent optimization and simulation models, and equilibrium situations of different types, for instance, Nash or Stackelberg equilibrium situations. The solver finds the equilibrium solution when the optimization model describes the system with several actors. The solver is parallelizable, performing several simulation threads in parallel. It is capable of solving stochastic optimization problems, finding stochastic Nash equilibria, and of composite stochastic bilevel problems where each level may require the solution of stochastic optimization problem or finding Nash equilibrium. Several complex examples with applications to water resources management, energy markets, pricing of services on social networks are provided. In the case of power system, regulator makes decision on the final expansion plan, considering the strategic behavior of regulated companies and coordinating the interests of different economic entities. Such a plan can be an equilibrium − a planned decision where a company cannot increase its expected gain unilaterally.
Engineering Problems
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Author : Marcos de Sales Guerra Tsuzuki
language : en
Publisher:
Release Date : 2022
Engineering Problems written by Marcos de Sales Guerra Tsuzuki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Engineering mathematics categories.
Planning Under Uncertainty
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Author : Gerd Infanger
language : en
Publisher: Boyd & Fraser Publishing Company
Release Date : 1994
Planning Under Uncertainty written by Gerd Infanger and has been published by Boyd & Fraser Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Business & Economics categories.