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《Natural Science Journal of Xiangtan University》 2001-04
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Highly Efficient Genetic Algorithms With Adaptive Adjustment Of Parameters

ZHONG Hua; GAO Xieping; DUAN Yihua (College of Information Engineering of Xiangtan University,Xiangtan 411105 China)  
This paper analyses the influence of the parameters of fitness selection operator upon the individual selection and searching performance in genetic algorithms. Then we propose a genetic algorithms which can adaptively adjust the Parameter of selection operator, modify the adaptive form of crossover and mutation probabilities discuss their varying mechanism. At last ,through the experiments ,we have proved this new genetic algorithms improve the searching ability and the precision of solutions, and can efficiently avoid the local minimum.
【Fund】: 国家省自然科学基金 (6 9875 0 14);; 教育部骨干教师基金 (GG - 5 2 0 - 10 5 30 - 10 2 2 );; 湖南省自然科学基金(0 0JJY2 0 5 8)
【CateGory Index】: TP183
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