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Multimodal Optimization with Artificial Immune Systems

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Intelligent Information Systems 2001

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 10))

Abstract

A simple and easy to implement algorithm for multimodal function optimization is proposed. It is based on clonal selection and programmed cell death mechanisms taken from natural immune system. Empirical results confirming its usability are presented, and review of other related approaches is given.

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© 2001 Springer-Verlag Berlin Heidelberg

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Wierzchoń, S.T. (2001). Multimodal Optimization with Artificial Immune Systems. In: Kłopotek, M.A., Michalewicz, M., Wierzchoń, S.T. (eds) Intelligent Information Systems 2001. Advances in Intelligent and Soft Computing, vol 10. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1813-0_15

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  • DOI: https://doi.org/10.1007/978-3-7908-1813-0_15

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1407-1

  • Online ISBN: 978-3-7908-1813-0

  • eBook Packages: Springer Book Archive

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