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An Improved Migrate Operator of Coarse-Grained Parallel Genetic Algorithm

YAN Xiao-ming(School of Mathematics and Computer Science,Fujian Normal University,Fuzhou 350117,China)  
An improved migrate strategy of coarse-grained parallel genetic algorithm is proposed.The sub-populations exchange the best individual and representation individual with sharing pool every specified interval of generations.Diversity of sub-populations is enforced and topology structure is ignored with the improved migrate operator.Emulation experiment results in complicated nonlinear functions show that it has better quality of solution and reduced interval of generations compared with the coarse-grained parallel genetic algorithm using fixed topology.
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