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《Acta Electronica Sinica》 2006-07
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Bee Evolutionary Genetic Algorithm

MENG Wei~1,HAN Xue-dong~2,HONG Bing-rong~3 (1.Information School of Beijing Forestry University,Beijing 100083,China;2.No.706 Institute of China Aerospace Science and Industry Corporation,Beijing 100854,China;3.School of Computer Science and Technology,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China)  
This paper proposes a Bee Evolutionary Genetic Algorithm(BEGA).In BEGA,optimum individual being a queen-bee in population crossover with each selected individual(drone).As a result,it reinforces the exploitation of genetic algorithm.In order to avoid premature convergence,BEGA introduces a random population that extends search area.Consequentially it enhances the exploration of genetic algorithm.By treating the collection of individuals in each generation as a state and modeling the algorithm as a homogeneous finite Markov chain,it is proven that BEGA can guarantee the convergence towards the global optimum of the problem.Experiments results show BEGA is an efficient and effective improved genetic algorithm.
【Fund】: 国家863高科技发展计划基金(No.2001AA422270);; 国家自然科学基金(No.69985002)
【CateGory Index】: TP18
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