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《Computer Engineering and Applications》 2005-18
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Adaptive Genetic Algorithm Based on Parents'Similarity

Tian Xiaomei1 Zheng Jinhua2 Li Hejun1 1(Hunan Environment-Biological Polytechnic,Hengyang,Hunan 421005) 2(School of Information Engineering,Xiangtan University,Xiangtan,Hunan 411105)  
Simple Genetic Algorithm uses first crossover then mutation strategy while generating offspring.On one hand,it is difficult for new individuals to be generated during crossover operator when parents are very similar,resulting in the difficulty in the exploration of new solution space and the loss of population diversity.On the other hand,superior individuals generated by crossover operator have to undergo mutation and are very likely to turn into inferior individuals after mutation procedure,and then influence GA's convergence quality and convergence speed.Based on the similarity of chromosomes,individual similarity concept is proposed in this paper,and an adaptive genetic algorithm that perform crossover or mutation operator according to parents' similarity is put forward.Our experimental results indicate that this new genetic algorithm can find better solution and converge faster than the genetic algorithm employing general genetic strategy.
【Fund】: 湖南环境生物职业技术学院院长基金资助课题
【CateGory Index】: TP18
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