Complexity analysis of evaluating distances in the genetic algorithm using species conservation

Conference paper (2001)

Authors

J. P. Li University of Cambridge
Marton E. Balazs University of Cambridge
Geoffrey T. Parks University of Cambridge
P.J. Clarkson University of Cambridge
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Published Date

2001

Language

English

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Abstract

The examination of the distribution of the species seeds in the species conservation genetic algorithms (SCGA) is discussed. A technique based on dividing the population into several species for evolving parallel subpopulations within a genetic algorithm (GA) for multimodal function optimization is introduced. No significant changes in the overall efficiency of the SCGA is observed.