The Genetic Operating Based on the Pheromone of Ant Colony in the Genetic Algorithm
基于蚁群信息素的遗传操作算法

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 optimization and the speed of the algorithm convergence. The efficiency of the method has been shown by simulative experiments solving the Traveling Salesman Problems (TSP).