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Basin Identification by Means of Nearest-Better Clustering

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

Abstract

Here we first collect the most important objectives for a basin identification (and thereby clustering) algorithm in the optimization context and then propose a technique for detecting clusters in populations of search points that correspond to basins of attraction. We present this method early and defer literature review and comparison, as it builds the basis for several measurements and algorithms that will be provided in later chapters.

Keywords

Search Space Search Point Random Initialization Nearest Neighbor Distance Main Basin 
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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