Multiple objective ant colony optimisation

Angus, D. and Woodward, C (2008) Multiple objective ant colony optimisation. Swarm Intelligence, 3 1: 69-85. doi:10.1007/s11721-008-0022-4

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Author Angus, D.
Woodward, C
Title Multiple objective ant colony optimisation
Journal name Swarm Intelligence   Check publisher's open access policy
ISSN 1935-3812
Publication date 2008-12-09
Sub-type Article (original research)
DOI 10.1007/s11721-008-0022-4
Open Access Status Not yet assessed
Volume 3
Issue 1
Start page 69
End page 85
Total pages 17
Editor Dorigo, M.
Place of publication New York
Publisher Springer
Language eng
Subject C1
080108 Neural, Evolutionary and Fuzzy Computation
970108 Expanding Knowledge in the Information and Computing Sciences
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.
Keyword multiple objective optimisation
pareto optimisation
ant colony optimisation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: Scopus Citation Count Cited 83 times in Scopus Article | Citations
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Created: Mon, 13 Apr 2009, 03:44:34 EST by Donna Clark on behalf of School of Information Technol and Elec Engineering