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Designing Evolutionary Algorithms for Dynamic Environments, Fachbücher von Ronald W. Morrison

The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become p... Mehr erfahren

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The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response.

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Lieferzeit:2-4 Werktage
Marke:Springer