Coffin, DJ;
Clack, CD;
(2006)
gLINC: Identifying composability using group perturbation.
In: Keijzer, M, (ed.)
Proceedings of the 8th annual conference on Genetic and evolutionary computation.
(pp. pp. 1133-1140).
ACM: Association for Computing Machinery: Seattle, WA, USA.
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Abstract
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of oLINC (gLINC). We show how gLINC decomposes a fitness landscape significantly faster than both LINC and oLINC.We present details of LINC, oLINC and gLINC, an empirical comparison of their speed, accuracy and sensitivity to population size on a concatenated trap function, and a discussion of their complexity and correctness.
Type: | Proceedings paper |
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Title: | gLINC: Identifying composability using group perturbation |
Event: | 8th Annual Genetic and Evolutionary Computation Conference |
Location: | Seattle, WA |
Dates: | 08 July 2006 - 12 July 2006 |
ISBN-13: | 978-1-59593-186-3 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/1143997.1144178 |
Publisher version: | http://dx.doi.org/10.1145/1143997.1144178 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Computer Science, genetic algorithms, linkage learning, epistasis, composition, perturbation, hierarchical |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10087112 |
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