Modifications of real code genetic algorithm for global optimization
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摘要
A series of modifications to the real coded genetic algorithm for the task of locating the global minimum of multidimensional functions are presented here. These modifications include a new stopping rule, a novel mutation mechanism and a periodically application of a local search procedure. The proposed modifications are tested on a series of optimization problems and the results are reported.
论文关键词:Global optimization,Genetic algorithms,Stochastic procedure,Stopping rules,Mutation
论文评审过程:Available online 13 May 2008.
论文官网地址:https://doi.org/10.1016/j.amc.2008.05.005