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Titlebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II; Oliver Schütze,Carlos A. Coello Coello,Pier

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书目名称EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
编辑Oliver Schütze,Carlos A. Coello Coello,Pierrick Le
视频video
概述Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation.Carefully edited book on optimization, operation research, numerical analysis and evolutionary computation.Written b
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II;  Oliver Schütze,Carlos A. Coello Coello,Pier
描述This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. .The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements .may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability,  performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.
出版日期Conference proceedings 2013
关键词Evolutionary Computation; Intelligent Computing; Probability; Set Oriented Numerics
版次1
doihttps://doi.org/10.1007/978-3-642-31519-0
isbn_softcover978-3-642-31518-3
isbn_ebook978-3-642-31519-0Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer-Verlag Berlin Heidelberg 2013
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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/e/image/300629.jpg
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Control of Nonlinear Dynamic Systems with the Cell Mapping Methodoblem and Bellman’s principle of optimality. Then, we present the cell mapping methods and their application to optimal control problems of deterministic nonlinear dynamic systems. Examples of population dynamics control of two competing species are presented to demonstrate the effectiveness of the cell mapping method.
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978-3-642-31518-3Springer-Verlag Berlin Heidelberg 2013
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