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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© 2015 Springer International Publishing Switzerland
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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
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