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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Vydané v:	Computers & operations research Ročník 29; číslo 3; s. 261 - 274
Hlavní autori:	Fung, Richard Y.K., Tang, Jiafu, Wang, Dingwei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.03.2002 Pergamon Press Inc
Predmet:	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
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