Parameter Control in Evolutionary Algorithms
The issue of setting the values of various parameters of an evolutionary algorithm is crucial for good performance. In this chapter we discuss how to do this, beginning with the issue of whether these values are best set in advance or are best changed during evolution. We provide a classification of different approaches based on a number of complementary features, and pay special attention to setting parameters on-the-fly. This has the potential of adjusting the algorithm to the problem while solving the problem.
KeywordsMigration Covariance Recombination Eter Encapsulation
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