Yang, S. Y.Ho, S. L.Ni, G. Z.Machado, José Márcio [UNESP]Wong, K. F.2014-05-272014-05-272006-11-2112th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006.http://hdl.handle.net/11449/69227To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for updating those probability vectors and the negative learning and mutation operators are redefined as reported. Numerical examples are reported to demonstrate the pros and cons of the newly Implemented algorithm. ©2006 IEEE.engAlgorithmsLearning systemsNumerical analysisOptimizationProbabilityVectorsMultiple probability vectorsPopulation Based Incremental Learning (PBIL)ElectromagnetismTrabalho apresentado em evento10.1109/CEFC-06.2006.1632955Acesso aberto2-s2.0-42749107739