research-article

Comparing methods for module identification in grammatical evolution

Authors:

Miguel Nicolau,

Michael O'Neill,

Anthony BrabazonAuthors Info & Claims

GECCO '12: Proceedings of the 14th annual conference on Genetic and evolutionary computation

Pages 823 - 830

https://doi.org/10.1145/2330163.2330277

Published: 07 July 2012 Publication History

Abstract

Modularity has been an important vein of research in evolutionary algorithms. Past research in evolutionary computation has shown that techniques able to decompose the benchmark problems examined in this work into smaller, more easily solved, sub-problems have an advantage over those which do not. This work describes and analyzes a number of approaches to discover sub-solutions (modules) in the grammatical evolution algorithm. Data from the experiments carried out show that particular approaches to identifying modules are better suited to certain problem types, at varying levels of difficulty. The results presented here show that some of these approaches are able to significantly outperform standard grammatical evolution and grammatical evolution using automatically defined functions on a subset of the problems tested. The results also point to a number of possibilities for extending this work to further enhance approaches to modularity.

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Cited By

Saini ASpector LKrawiec K(2021)GLEAMProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3449726.3459544(263-264)Online publication date: 7-Jul-2021
https://dl.acm.org/doi/10.1145/3449726.3459544
Murphy ARyan C(2020)Improving Module Identification and Use in Grammatical Evolution2020 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC48606.2020.9185571(1-7)Online publication date: Jul-2020
https://doi.org/10.1109/CEC48606.2020.9185571
Ryan CO’Neill MCollins J(2018)Introduction to 20 Years of Grammatical EvolutionHandbook of Grammatical Evolution10.1007/978-3-319-78717-6_1(1-21)Online publication date: 12-Sep-2018
https://doi.org/10.1007/978-3-319-78717-6_1
Show More Cited By

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cover image ACM Conferences

GECCO '12: Proceedings of the 14th annual conference on Genetic and evolutionary computation

July 2012

1396 pages

ISBN:9781450311779

DOI:10.1145/2330163

Editor:
Terence Soule
University of Idaho, USA
,
General Chair:
Jason H. Moore
Dartmouth College, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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Published: 07 July 2012

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GECCO '12

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GECCO '12: Genetic and Evolutionary Computation Conference

July 7 - 11, 2012

Pennsylvania, Philadelphia, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Saini ASpector LKrawiec K(2021)GLEAMProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3449726.3459544(263-264)Online publication date: 7-Jul-2021
https://dl.acm.org/doi/10.1145/3449726.3459544
Murphy ARyan C(2020)Improving Module Identification and Use in Grammatical Evolution2020 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC48606.2020.9185571(1-7)Online publication date: Jul-2020
https://doi.org/10.1109/CEC48606.2020.9185571
Ryan CO’Neill MCollins J(2018)Introduction to 20 Years of Grammatical EvolutionHandbook of Grammatical Evolution10.1007/978-3-319-78717-6_1(1-21)Online publication date: 12-Sep-2018
https://doi.org/10.1007/978-3-319-78717-6_1
He SZhu ZJia GTennant DHuang QTang KHeath JMusolesi MYao X(2016)Cooperative Co-evolutionary Module Identification with Application to Cancer Disease Module DiscoveryIEEE Transactions on Evolutionary Computation10.1109/TEVC.2016.2530311(1-1)Online publication date: 2016
https://doi.org/10.1109/TEVC.2016.2530311
Swafford JHemberg EO'Neill MBrabazon A(2012)Analyzing module usage in grammatical evolutionProceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I10.1007/978-3-642-32937-1_35(347-356)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1007/978-3-642-32937-1_35

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