Futility-Based Offspring Sizing
Parameter control in evolutionary algorithms (EAs) has been shown to be beneficial; however, the control of offspring size has so far received very little attention. This paper introduces Futility-Based Offspring Sizing (FuBOS), a method for controlling offspring size on a per generation basis without even requiring the user to set an initial offspring size value. We show that on several complex problems, an EA employing FuBOS performs on par with a highly tuned, fixed offspring size EA while being far more efficient in terms of fitness evaluations and much easier to tune as well.
A. Nwamba and D. R. Tauritz, "Futility-Based Offspring Sizing," Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009, pp. 1873-1874, Association for Computing Machinery (ACM), Jan 2009.
The definitive version is available at http://dx.doi.org/10.1145/1569901.1570210
11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 (2009: Jul. 8-12, Montreal, Quebec, Canada)
Keywords and Phrases
Evolutionary Algorithm; Offspring Sizing; Optimization; Parameter Control; Parameterless Evolutionary Algorithm
International Standard Book Number (ISBN)
Article - Conference proceedings
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