One 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.
E. Smorodkina and D. R. Tauritz, "Toward Automating EA Configuration: The Parent Selection Stage," Proceedings of the 2007 IEEE Congress on Evolutionary Computation (2007: Sep. 25-28, Singapore), pp. 63 - 70, Institute of Electrical and Electronics Engineers (IEEE), Sep 2007.
The definitive version is available at https://doi.org/10.1109/CEC.2007.4424455
2007 IEEE Congress on Evolutionary Computation (2007: Sep. 25-28, Singapore)
Keywords and Phrases
Automatic Configuration; Evolutionary Algorithms; Genetic Programming
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Article - Conference proceedings
© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Sep 2007