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Journal Article

The principle of maximum entropy-based two-phase optimization of fuzzy controller by evolutionary programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2003) 2723 638-639
DOI: 10.1007/3-540-45105-6_76
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Abstract

In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary programming (EP) and the principle of maximum entropy (PME) based on the previous research [1]. © Springer-Verlag Berlin Heidelberg 2003.

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APA

Lee, C. H., Yuchi, M., Myung, H., & Kim, J. H. (2003). The principle of maximum entropy-based two-phase optimization of fuzzy controller by evolutionary programming. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2723, 638–639. https://doi.org/10.1007/3-540-45105-6_76

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