THE MIXED ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS PICK-UP AND DELIVERY
This paper designs a mixed algorithm called PSO_ACS to solve the vehicle routing problem with simultaneous pick-up and delivery. The ACS and PSO are combined by defining information heuristic factor and expectation heuristic factor as the functions of the particles positions, and the PSO algorithm is adopted to improve the heuristics parameters self-adaptively. This algorithm improves the convergent speed through changing the inertial weight of the PSO. The results of the numerical experiments on the Dethloff instances show that the mixed algorithm could get better value in efficient time.
Vehicle routing problem with simultaneous pickup and deltvery (VRPSPD) ant colony system (ACS) particle swarm optimization (PSO) mized integer programming
TAO ZHANG YUE-JIE ZHANG QI CHEN YAN SUN
School of Information Management and Engineering, Shanghai University of Finance and Economics, Shan School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing.Fudan Univ
国际会议
2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)
保定
英文
1871-1876
2009-07-12(万方平台首次上网日期,不代表论文的发表时间)