Enhancing evolutionary algorithms through recombination and parallelism. From: Journal of Computer Science & Technology | Date: October 1, 2001| Author: | COPYRIGHT 2001 Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI). This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan.  All inquiries regarding rights should be directed to the Gale Group.Copyright information

Abstract

Evolutionary computation (EC) has been recently recognized as a research field, which studies a new type of algorithms: Evolutionary Algorithms (EAs). These algorithms process populations of solutions as opposed to most traditional approaches which improve a single solution. All these algorithms share common features: reproduction, random variation, competition and selection of individuals. During our research it was evident that some components of EAs should be re-examined. Hence, specific topics such as multiple crossovers per couple and its enhancements, ...

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