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Niching for Ant Colony Optimisation

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Biologically-Inspired Optimisation Methods

Part of the book series: Studies in Computational Intelligence ((SCI,volume 210))

Abstract

Evolutionary Computation niching methods, such as Fitness Sharing and Crowding, are aimed at simultaneously locating and maintaining multiple optima to increase search robustness, typically in multi-modal function optimization. Such methods have been shown to be useful for both single and multiple objective optimisation problems. Niching methods have been adapted in recent years for other optimisation paradigms such as Particle Swarm Optimisation and Ant Colony Optimisation. This paper discusses niching techniques for Ant Colony Optimisation. Two niching Ant Colony Optimisation algorithms are introduced and an empirical analysis and critical evaluation of these techniques presented for a suite of single and multiple objective optimisation problems.

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Author information

Authors and Affiliations

  1. The University of Queensland, Brisbane, Queensland, Australia

    Daniel Angus

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  1. Daniel Angus
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Editor information

Editors and Affiliations

  1. Institute for Integrated and Intelligent Systems, Griffith University, Nathan Campus, 4111, Brisbane, Queensland, Australia

    Andrew Lewis

  2. Institut für Angewandte Informatik und Formale Beschreibungsverfahren - AIFB, Universität Karlsruhe, 76128, Karlsruhe, Germany

    Sanaz Mostaghim

  3. Faculty of Business, Technology and Sustainable Development, Bond University, 4229, Gold Coast, Queensland, Australia

    Marcus Randall

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Angus, D. (2009). Niching for Ant Colony Optimisation. In: Lewis, A., Mostaghim, S., Randall, M. (eds) Biologically-Inspired Optimisation Methods. Studies in Computational Intelligence, vol 210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01262-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-01262-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01261-7

  • Online ISBN: 978-3-642-01262-4

  • eBook Packages: EngineeringEngineering (R0)

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