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《Computer Engineering and Applications》 2005-18
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An Improved Adaptive Genetic Algorithm

Jin Jing1 Su Yong2 1(Department of Applied Physics,College of Science,South China University of Technology,Guangzhou 510640) 2(School of Electronic & Information Engineering,South China University of Technology,Guangzhou 510640)  
Genetic algorithms(GAs)are stochastic optimization methods using the concept of natural evolution and natural genetics.The standard GA has such disadvantages as premature convergence,low convergence speed and low robustness.Adaptation of parameters and operators is one of the most important and promising areas of research in GA.This paper presents a method for optimal design of an improved adaptive Genetic algorithm.The case study of designing and simulation shows our new method has faster convergence speed and higher robustness.
【CateGory Index】: TP183
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