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Zbl 1159.65063
Tsoulos, Ioannis G.
Solving constrained optimization problems using a novel genetic algorithm. (English)
[J] Appl. Math. Comput. 208, No. 1, 273-283 (2009). ISSN 0096-3003

Summary: A novel genetic algorithm is described in this paper for the problem of constrained optimization. The algorithm incorporates modified genetic operators that preserve the feasibility of the trial solutions encoded in the chromosomes, the stochastic application of a local search procedure and a stopping rule which is based on asymptotic considerations. The algorithm is tested on a series of well-known test problems and a comparison is made against the algorithms C-SOMGA and DONLP2.

MSC 2000:: *65K05 Mathematical programming (numerical methods)
90C15 Stochastic programming

Keywords: constrained optimization; evolutionary algorithms; genetic algorithms; genetic operations; stopping rules; nuemrical examples

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