GenConstraint: A programming tool for constraint optimization problems. This article presents a software used to solve constrained optimization problems with a modified genetic algorithm, which utilizes a series of modified genetic operators to preserve the feasibility of trial solutions and terminates using a stochastic stopping rule. The software is written entirely in ANSI-C++ and the user can prepare the objective function either in C++ or in Fortran. The article presents the genetic algorithm, the incorporated software as well as some experiments on a series of optimization problems. Also, the proposed software was tested on the design of a two-dimensional filter. The results are compared against the results from the algorithm DONLP2.
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References in zbMATH (referenced in 2 articles , 1 standard article )
Showing results 1 to 2 of 2.
- Paulo Paneque Galuzio, Emerson Hochsteiner de Vasconcelos Segundo, Leandro dos Santos Coelho, Viviana Cocco Mariani: MOBOpt - multi-objective Bayesian optimization (2020) not zbMATH
- Tsoulos I.G., Stavrou V., Mastorakis N.E., Tsalikakis D.: GenConstraint: A programming tool for constraint optimization problems (2019) not zbMATH