Computer Science ›› 2007, Vol. 34 ›› Issue (6): 170-173.

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ZHANG Ying-Hui ,WANG Zhi-Wei, ZENG Qing-Hua (Chengdu Neusoft Institute of Information, Chengdu 611844)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: It is a normal way to randomly select crossover and mutation gene locus in genetic operating. In this paper, based on the pheromone of Ant Colony and the probability of selecting gene, a method to select gene is presented to raise the performance of local

Key words: Genetic algorithms, Ant colony algorithm, Global optimization, Pheromone, Traveling salesman problems (TSP)

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