A Method of Fuzzy Multi-objective Nonlinear Programming with GUB Structure by Hybrid Genetic Algorithm

In this paper, a multi-objective nonlinear programming method is proposed. That is, the problems which have fuzzy multiple objective functions and constraints with GUB (Generalized Upper Bounding) structure are solved by the proposed Hybridized Genetic Algorithms (HGA). This approach enables a flexi...

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Vydané v:	International journal of smart engineering system design Ročník 5; číslo 4; s. 281 - 288
Hlavní autori:	Sasaki, Masato, Gen, Mitsuo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis Group 01.10.2003
Predmet:	decision maker fuzzy goal GUB structure hybrid genetic algorithm multiple objective nonlinear programming reliability optimization
ISSN:	1025-5818, 1607-8500
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