Nearest-Better-Based Niching

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


Here we employ the nearest-better clustering basin identification method derived in a previous chapter for setting up two niching evolutionary algorithms. After doing parameter testing, we investigate how these algorithms perform in comparison to other recent methods for the all-global and one-global use cases by means of available benchmark suites.


Local Search Differential Evolution Search Point Covariance Matrix Adaptation Evolution Strategy Initial Sample Size 
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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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