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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Knowledge Incorporation in Multi-objective Evolutionary Algorithms
verfasst von : Ricardo Landa-Becerra, Luis V. Santana-Quintero, Carlos A. Coello Coello
Erschienen in: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Verlag: Springer Berlin Heidelberg
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This chapter presents a survey of techniques used to incorporate knowledge into evolutionary algorithms, with a particular emphasis on multi-objective optimization. We focus on two main groups of techniques: those that incorporate knowledge into the fitness evaluation, and those that incorporate knowledge in the initialization process and the operators of an evolutionary algorithm. Several techniques representative of each of these groups are briefly discussed, together with some examples found in the specialized literature. In the last part of the chapter, we provide some research ideas that are worth exploring in the future by researchers interested in this topic.