Toward Automating EA Configuration: The Parent Selection StageProceedings of the 2007 IEEE Congress on Evolutionary Computation (2007: Sep. 25-28, Singapore)
AbstractOne of the obstacles to Evolutionary Algorithms (EAs) fulfilling their promise as easy to use general-purpose problem solvers, is the difficulty of correctly configuring them for specific problems such as to obtain satisfactory performance. Having a mechanism for automatically configuring parameters and operators of every stage of the evolutionary life-cycle would give EAs a more widely spread popularity in the non-expert community. This paper investigates automatic configuration of one of the stages of the evolutionary life-cycle, the parent selection, via a new concept of semi-autonomous parent selection, where mate selection operators are encoded and evolved as in Genetic Programming. We compare the performance of the EA with semi-autonomous parent selection to that of a manually configured EA on three common test problems to determine the “price” we pay for user-friendliness.
Meeting Name2007 IEEE Congress on Evolutionary Computation (2007: Sep. 25-28, Singapore)
Keywords and Phrases
- Automatic Configuration,
- Evolutionary Algorithms,
- Genetic Programming
International Standard Book Number (ISBN)978-1-4244-1339-3
Document TypeArticle - Conference proceedings
Document VersionFinal Version
Rights© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Citation InformationEkaterina Smorodkina and Daniel R. Tauritz. "Toward Automating EA Configuration: The Parent Selection Stage" Proceedings of the 2007 IEEE Congress on Evolutionary Computation (2007: Sep. 25-28, Singapore) (2007) p. 63 - 70 ISSN: 1089-778X
Available at: http://works.bepress.com/daniel-tauritz/3/