Improvement of search performance in genetic algorithms with fitness prediction

When genetic algorithm (GA) is applied to actual engineering problems, for example, optimization of design parameters, the searching time is usually huge because the fitness is calculated by repetitive simulation or analysis, which requires a large amount of calculation time. In order to shorten the...

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Veröffentlicht in:	Electrical engineering in Japan 2007-01, Vol.158 (1), p.60-68
Hauptverfasser:	Tanaka, Masaharu, Mizoguchi, Masanobu, Takami, Isao
Format:	Artikel
Sprache:	eng
Schlagworte:	design optimization fitness prediction genetic algorithm neural network
Online-Zugang:	Volltext
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