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. © Springer-Verlag Berlin Heidelberg 2003.
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CITATION STYLE
Han, K. H., & Kim, J. H. (2003). On setting the parameters of QEA for practical applications: Some guidelines based on empirical evidence. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2723, 427–428. https://doi.org/10.1007/3-540-45105-6_52
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