Extension of a hybrid Genetic Algorithm for nonlinear programming problems with equality and inequality constraints

As an extension of the hybrid Genetic Algorithm-HGA proposed by Tang et al. (Comput. Math. Appl. 36 (1998) 11), this paper focuses on the critical techniques in the application of the GA to nonlinear programming (NLP) problems with equality and inequality constraints. Taking into account the equalit...

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Bibliographic Details

Published in:	Computers & operations research Vol. 29; no. 3; pp. 261 - 274
Main Authors:	Fung, Richard Y.K., Tang, Jiafu, Wang, Dingwei
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.03.2002 Pergamon Press Inc
Subjects:	Algorithms Equality constraint Feasibility Genetic algorithms Genetics Hybrid Genetic Algorithm Nonlinear programming Semi-feasible direction Studies Weighted gradient direction Semi-feasible direction Nonlinear programming Weighted gradient direction Hybrid Genetic Algorithm Equality constraint
ISSN:	0305-0548, 1873-765X, 0305-0548
Online Access:	Get full text
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