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On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence
Kuk-Hyun Han and Jong-Hwan Kim
Department of Electrical Engineering and ComputerScience,
Korea Advanced Institute of Science and Technology (KAIST),
Guseong-dong, Yuseong-gu,
Daejeon, 305-701, Republic of Korea
{khhan,johkim}@rit.kaist.ac.kr
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.
LNCS 2723, p. 427 f.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003