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Multiple objective ant colony optimisation

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Abstract

Multiple Objective Optimisation is a fast growing area of research, and consequently several Ant Colony Optimisation approaches have been proposed for a variety of these problems. In this paper, a taxonomy for Multiple Objective Ant Colony Optimisation algorithms is proposed and many existing approaches are reviewed and described using the taxonomy. The taxonomy offers guidelines for the development and use of Multiple Objective Ant Colony Optimisation algorithms.

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Authors and Affiliations

  1. The University of Queensland, Brisbane, Australia

    Daniel Angus

  2. Swinburne University of Technology, Melbourne, Australia

    Clinton Woodward

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  1. Daniel Angus
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Correspondence to Daniel Angus.

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Angus, D., Woodward, C. Multiple objective ant colony optimisation. Swarm Intell 3, 69–85 (2009). https://doi.org/10.1007/s11721-008-0022-4

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  • DOI: https://doi.org/10.1007/s11721-008-0022-4

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