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Experimentation in Evolutionary Computation

  • Mike Preuss
Chapter
Part of the Natural Computing Series book series (NCS)

Abstract

In which we reflect on the current status of experimentation in evolutionary computation (Sect. 2.1) and beyond (Sect. 2.2). We then argue in favor of a methodology in Sect. 2.3, highlighting the need for a structured approach with well-defined aims, parameter settings, designs, and measures. Finally, Sect. 2.4 deals with the positive aspect of parameters: the possibility of adapting algorithms to concrete needs via new, more suitable parameter settings.

Keywords

Parameter Tuning Evolutionary Computation Experimental Methodology Peak Performance Design Site 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Mike Preuss
    • 1
  1. 1.Lehrstuhl für Wirtschaftsinformatik und StatistikWestfälische Wilhelms-Universität MünsterMünsterGermany

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