Abstract
The issue of setting the values of evolutionary algorithm parameters before running an EA was treated in the previous chapter. In this chapter we discuss how to do this during a run of an EA, in other words, we elaborate on controlling EA parameters on-the-fly. This has the potential of adjusting the algorithm to the problem while solving the problem. We provide a classification of different approaches based on a number of complementary features and present examples of control mechanisms for every major EA component. Thus we hope to both clarify the points we wish to raise and also to give the reader a feel for some of the many possibilities available for controlling different parameters.
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© 2015 Springer-Verlag Berlin Heidelberg
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Eiben, A.E., Smith, J.E. (2015). Parameter Control. In: Introduction to Evolutionary Computing. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44874-8_8
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DOI: https://doi.org/10.1007/978-3-662-44874-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44873-1
Online ISBN: 978-3-662-44874-8
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