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In the present paper, an improved particle swarm optimization (PSO) algorithm for multimodal function optimization is proposed. The new algorithm, named auto-tuning multigrouped PSO (AT-MGPSO) algorithm mimics natural phenomena in ecosystem such as territorial dispute between different group members and immigration of weak groups, resulting in automatic determination of the size of each group's territory...
This paper presents an optimization methodology which employs a Kriging model together with a restricted evolution strategy (ES). The global and local optima are obtained using the restricted ES. Of these optima, some points are selected to enter the sample data set and the Kriging model is reconstructed using the updated sample data set. The numerical tests show that the proposed method is quite...
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