CUED Publications database

A species conserving genetic algorithm for multimodal function optimization

Li, JP and Balazs, ME and Parks, GT and Clarkson, PJ (2002) A species conserving genetic algorithm for multimodal function optimization. Evolutionary Computation, 10. pp. 207-234. ISSN 1063-6560

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This paper introduces a new technique called species conservation for evolving parallel subpopulations. The technique is based on the concept of dividing the population into several species according to their similarity. Each of these species is built around a dominating individual called the species seed. Species seeds found in the current generation are saved (conserved) by moving them into the next generation. Our technique has proved to be very effective in finding multiple solutions of multimodal optimization problems. We demonstrate this by applying it to a set of test problems, including some problems known to be deceptive to genetic algorithms.

Item Type: Article
Divisions: Div A > Energy
Div C > Engineering Design
Depositing User: Unnamed user with email
Date Deposited: 17 Jul 2017 18:59
Last Modified: 09 Sep 2021 02:06
DOI: 10.1162/106365602760234081