Automatic Programming with Ant Colony Optimization

Green, Jennifer and Whalley, Jacqueline.L. and Johnson, Colin G. (2004) Automatic Programming with Ant Colony Optimization. In: Proceedings of the 2004 UK Workshop on Computational Intelligence, September 2004. , Loughborough University, . (Full text available)

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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: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01
Last Modified: 06 Sep 2011 01:21
Resource URI: http://kar.kent.ac.uk/id/eprint/14081 (The current URI for this page, for reference purposes)
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