Authors: Droste, Stefan
Jansen, Thomas
Wegener, Ingo
Title: Dynamic Parameter Control in Simple Evolutionary Algorithms
Language (ISO): en
Abstract: Evolutionary algorithms are general, randomized search heuristics that are influenced by many parameters. Though evolutionary algorithms are assumed to be robust,it is well-known that choosing the parameters appropriately is crucial for success and efficiency of the search. It has been shown in many experiments, that non-static parameter settings can be by far superior to static ones but theoretical verifications are hard to find. We investigate a very simple evolutionary algorithm and rigorously prove that employing dynamic parameter control can greatly speed-up optimization.
URI: http://hdl.handle.net/2003/5392
http://dx.doi.org/10.17877/DE290R-15248
Issue Date: 2001-10-17
Publisher: Universität Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 531

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