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In this paper, an improved genetic algorithm for the multiple traveling salesman problem was proposed. In the algorithm, a pheromone-based crossover operator is designed, and a local search procedure is used to act as the mutation operator. The pheromone-based crossover can utilize both the heuristic information, including edge lengths and adjacency relations, and pheromone to construct offspring...
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