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Evolutionary computation for dynamic optimization problems

This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where...

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Detalles Bibliográficos
Autores principales: Yang, Shengxiang, Yao, Xin
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-38416-5
http://cds.cern.ch/record/1555633
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author Yang, Shengxiang
Yao, Xin
author_facet Yang, Shengxiang
Yao, Xin
author_sort Yang, Shengxiang
collection CERN
description This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.
id cern-1555633
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Springer
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spelling cern-15556332021-04-21T22:37:06Zdoi:10.1007/978-3-642-38416-5http://cds.cern.ch/record/1555633engYang, ShengxiangYao, XinEvolutionary computation for dynamic optimization problemsEngineeringThis book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.Springeroai:cds.cern.ch:15556332013
spellingShingle Engineering
Yang, Shengxiang
Yao, Xin
Evolutionary computation for dynamic optimization problems
title Evolutionary computation for dynamic optimization problems
title_full Evolutionary computation for dynamic optimization problems
title_fullStr Evolutionary computation for dynamic optimization problems
title_full_unstemmed Evolutionary computation for dynamic optimization problems
title_short Evolutionary computation for dynamic optimization problems
title_sort evolutionary computation for dynamic optimization problems
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-38416-5
http://cds.cern.ch/record/1555633
work_keys_str_mv AT yangshengxiang evolutionarycomputationfordynamicoptimizationproblems
AT yaoxin evolutionarycomputationfordynamicoptimizationproblems