Titlebook: Designing Evolutionary Algorithms for Dynamic Environments; Ronald W. Morrison Textbook 2004 Springer-Verlag Berlin Heidelberg 2004 Adapti

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Designing Evolutionary Algorithms for Dynamic Environments978-3-662-06560-0Series ISSN 1619-7127 Series E-ISSN 2627-6461

摘要記錄

Clumsy

Experimental Results for Population Initialization,n initialization for EAs in static environments. In this chapter, and also in [43], we examine that suggestion by testing a standard EA in a variety of static landscapes using random population initialization and population initialization using the sentinel placement algorithm (referred to as “placed initialization”).

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Ronald W. MorrisonThe first book focusing on robustness, stability, and performance of EAs in dynamic environments.Includes supplementary material:

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Natural Computing Serieshttp://image.papertrans.cn/d/image/268937.jpg

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RACE

nepotism

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A New EA for Dynamic Problems,fitness landscapes. This new EA is very flexible in controlling the amount of population dispersion at any time in an EA run, and addresses the problem of detecting changes in the fitness landscape. These features permit us to conduct experiments to quantitatively identify diversity needs for differ