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《Computer & Digital Engineering》 2005-07
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Chaos Genetic Algorithm and its Application in Function Optimization

Zhou Xiao 1) Hu Yihua 2) Chen Xiuqiao 1) Zhao Haiyan 2) (PLA Electronic Engineering Institute 1), Hefei 230037) (Wuhan Ordnance Petty Officer's School 2), Wuhan 430075)  
By combining chaos optimization and genetic algorithm, the Chaos Genetic Algorithm (CGA) is presented, which is applied in solving the function optimization problem. The chaos optimization is introduced in different phase of population evolution, which improves the total performance of genetic algorithm greatly. The experiment results show that CGA can get global optimum solution more efficiently and has higher convergence rate compared with Standard Genetic Algorithm (SGA).
【CateGory Index】: TP18
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