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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Bibliographic Details
Published in:	International journal of smart engineering system design Vol. 5; no. 4; pp. 281 - 288
Main Authors:	Sasaki, Masato, Gen, Mitsuo
Format:	Journal Article
Language:	English
Published:	Taylor & Francis Group 01.10.2003
Subjects:	decision maker fuzzy goal GUB structure hybrid genetic algorithm multiple objective nonlinear programming reliability optimization
ISSN:	1025-5818, 1607-8500
Online Access:	Get full text
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