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Erschienen in:
2002 | OriginalPaper | Buchkapitel
From Memory to Self-Organization
verfasst von : Jürgen Branke
Erschienen in: Evolutionary Optimization in Dynamic Environments
Verlag: Springer US
Enthalten in: Professional Book Archive
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In the preceding chapter, we have thoroughly reviewed the existing approaches to make evolutionary algorithms more suitable for dynamic optimization problems. Most of these concentrate on either memorization or diversity as a means to facilitate adaptation. In this chapter, two new approaches of applying evolutionary algorithms to dynamic optimization problems are presented. The first one, called “memory/search”, combines the concepts of explicit memory and diversification in a particularly effective way. It is described in Section 1.