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《Computer Engineering and Applications》 2008-11
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Genetic algorithm based on double bee population evolutionary

LU Xue-yan1,2,ZHOU Yong-quan1 1.College of Mathematic and Computer Science,Guangxi University for Nationalities,Nanning 530006,China 2.Department of Computer and Electronic Information Engineer,Wuzhou University,Wuzhou,Guangxi 543002,China  
In this paper,a Double Bee Population Evolutionary Genetic Algorithm(BDPGA) is proposed.In BDPGA,there is double bee population.One is from generation by the BDPGA,the other is a random population,and consequentially it enhances the exploration of genetic algorithm.Optimum individual being a queen-bee in each population crossover with each selected individual(drone).As a result it reinforces the exploitation of genetic algorithm,avoids premature convergence,and extends search area.The experiments results show that BDPGA is an efficient and effective improved genetic algorithm.
【Fund】: 国家自然科学基金(the National Natural Science Foundation of China under Grant No.60461001);; 广西省自然科学基金(the NaturalScience Foundation of Guangxi Province of China under Grant No.0542048);; 广西民族大学研究生教育创新计划项目;; 梧州学院青年基金项目
【CateGory Index】: TP18
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