On setting the parameters of QEA for practical applications: some guidelines based on empirical evidence

Authors:
Kuk-Hyun Han;Jong-Hwan Kim
Affiliations:
Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea;Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
Venue:
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Year:
2003

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Abstract

In this paper, some guidelines for setting the parameters of quantum-inspired evolutionary algorithm (QEA) are presented. Although the performance of QEA is excellent, there is relatively little or no research on the effects of different settings for its parameters. The guidelines are drawn up based on extensive experiments.