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Dynamic Optimization using Evolutionary Algorithms with a Case-based Memory

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Proceedings of the 14th Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02), Leuven, Belgium, (21-22 October 2002)

Zusammenfassung

Dynamic environments form a dicult class of problems for evolutionary algorithms to solve. In this paper we propose a new evolutionary algorithm for this class in which we combine a case-based memory with a meta-learner.

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