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《Computer Engineering and Applications》 2011-14
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Adaptive genetic algorithm based on co-evolution

LIU Wenyuan,LIU Bin School of Information Science and Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China  
For the problem of local optimum and the performance of stability,an adaptive genetic algorithm based on co-evo- lution is proposed.Adaptive probability of mutation is applied in local evolution and the capability of local search on the top floor is enhanced.On the bottom floor,co-evolution algorithm is used for solving the premature convergence among sub-populations,and adaptive genetic manipulation is used to protect outstanding individuals in sub-populations.The experi- ments demonstrate that this algorithm can increase the convergent speed and it has the ability of searching an optimum solution.
【Fund】: 国家自然科学基金 No.90104035;; 国家火炬计划(国科发计[2008]658号)~~
【CateGory Index】: TP18
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