College of Business Administration, Liaoning Technical University, Huludao 125000, China;School of Business, Zhanjiang Normal University, Zhanjiang 524048, China 在期刊界中查找 在百度中查找 在本站中查找
The basic ant colony algorithm converges slowly, is prone to plunge into partial optimum and results in search stagnation. In this paper, the optimized compositor is introduced into elitist strategy. According to ant compositor, new weighted coefficient is designed for pheromone updating. The simulation results of 30-city logistic distribution show that improved algorithm is more efficient and accurate than the basic ant colony algorithm.