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Titlebook: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design; Applications to Aero Jacques Periaux,Felipe Gonzalez,

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發(fā)表于 2025-3-21 18:59:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design
副標(biāo)題Applications to Aero
編輯Jacques Periaux,Felipe Gonzalez,Dong Seop Chris Le
視頻videohttp://file.papertrans.cn/318/317994/317994.mp4
概述Provides a detailed description of methodologies that combine game theoretical strategy with Evolutionary Algorithms.Applications may be found in complex multi-physics optimization problems drawn from
叢書名稱Intelligent Systems, Control and Automation: Science and Engineering
圖書封面Titlebook: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design; Applications to Aero Jacques Periaux,Felipe Gonzalez,
描述.Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies..This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named “Hybridized Nash-Pareto games”..Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail.?Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed.? Applications of increasing optimization complexity are presented as well as two hands-on test cases
出版日期Book 2015
關(guān)鍵詞Distributed Evolutionary Optimization; Engineering optimisation; Evolutionary Algorithms; Game strategi
版次1
doihttps://doi.org/10.1007/978-94-017-9520-3
isbn_softcover978-94-017-7698-1
isbn_ebook978-94-017-9520-3Series ISSN 2213-8986 Series E-ISSN 2213-8994
issn_series 2213-8986
copyrightSpringer Science+Business Media B.V. 2015
The information of publication is updating

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Introduction to the SharePoint Framework,esign optimisation processes. The methods and framework described are applicable to single and multi-objective, inverse or direct, complex engineering problems that can be highly non-linear, multi-modal involved approximations, non-differentiable, with convex, non-convex or discontinuous Pareto optimal fronts.
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Introduction,esign optimisation processes. The methods and framework described are applicable to single and multi-objective, inverse or direct, complex engineering problems that can be highly non-linear, multi-modal involved approximations, non-differentiable, with convex, non-convex or discontinuous Pareto optimal fronts.
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https://doi.org/10.1007/978-94-017-9520-3Distributed Evolutionary Optimization; Engineering optimisation; Evolutionary Algorithms; Game strategi
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Developing Successful Oracle Applications,idea of mimicking Evolution as an optimisation tool for engineering problems appeared in the late 50s and early 60s. The concept was to evolve a population of candidate solutions to solve a problem, using operators inspired by natural selection. In the 60s, Rechenberg introduced “Evolution Strategie
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https://doi.org/10.1007/978-1-4302-3513-2ar combination of weighted objectives. Such an approach may be of interest in some cases—particularly if the weight of each criterion is known beforehand—but besides its ad hoc character, it has several drawbacks since there is a loss of information and a need to define the weights associated to eac
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