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Niching and elitist models for MOGAs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1998) 1498 LNCS 260-269
DOI: 10.1007/bfb0056869
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Abstract

This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary design optimization of wing planform shape. Numerical results suggest that the combination of the fitness sharing and the best-N selection leads to the best performance.

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APA

Obayashi, S., Takahashi, S., & Takeguchi, Y. (1998). Niching and elitist models for MOGAs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1498 LNCS, pp. 260–269). Springer Verlag. https://doi.org/10.1007/bfb0056869

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