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Automatic Programming with Ant Colony Optimization

Green, Jennifer, Whalley, Jacqueline L., Johnson, Colin G. (2004) Automatic Programming with Ant Colony Optimization. In: Withall, Mark and Hinde, Chris, eds. Proceedings of the 2004 UK Workshop on Computational Intelligence. . pp. 70-77. Loughborough University ISBN 1-874152-11-X. (KAR id:14081)

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Abstract

Automatic programming is the use of search techniques to find programs that solve a problem. The most commonly explored automatic programming technique is genetic programming, which uses genetic algorithms to carry out the search. In this paper we introduce a new technique called Ant Colony Programming (ACP) which uses an ant colony based search in place of genetic algorithms. This algorithm is described and compared with other approaches in the literature.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Genetic programming; Swarm Intelligence; Heuristic Search
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14081 (The current URI for this page, for reference purposes)
Johnson, Colin G.: https://orcid.org/0000-0002-9236-6581
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