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Clustering-Based Niching

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Part of the book series: Studies in Big Data ((SBD,volume 20))

Abstract

Some optimization problems posses many potential locations of local and global optima. The potential locations are often denoted as basins in solution space. In many optimization scenarios, it is reasonable to evolve multiple equivalent solutions, as one solution may not be realizable in practice. Alternative optima allow the practitioner the fast switching between solutions.

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Correspondence to Oliver Kramer .

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Kramer, O. (2016). Clustering-Based Niching. In: Machine Learning for Evolution Strategies. Studies in Big Data, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-33383-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-33383-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33381-6

  • Online ISBN: 978-3-319-33383-0

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