In order to solve the problem of poor accuracy of total cost solution due to precooling parameters not considered in most models,the precooling parameters are added to the cooling cost to obtain a new total cost model.Based on the genetic algorithm and IACO algorithm,the IGACO algorithm is proposed.This algorithm improves the heuristic factor and pheromone update method of the traditional ant colony algorithm.Crossover operation and variation factor are added on this basis to expand the search range of the algorithm,and further the situation of falling into local optimum is avoided.After experiment comparative analysis,it is verified that the optimal route,total cost,running time and convergence speed derived from the IGACO algorithm are better than other comparative algorithms to some extent.
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