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Basin Identification by Means of Nearest-Better Clustering

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Multimodal Optimization by Means of Evolutionary Algorithms

Part of the book series: Natural Computing 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.

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Preuss, M. (2015). Basin Identification by Means of Nearest-Better Clustering. In: Multimodal Optimization by Means of Evolutionary Algorithms. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-07407-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-07407-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07406-1

  • Online ISBN: 978-3-319-07407-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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