Study of Vehicle Optimization Scheduling System for Metallurgy Enterprise Railroad Based on Particle Swarm Optimization Algorithm
TAO Ziyu1,JIANG Maofa1,LIU Junfang2,WANG Anna2
1.School of Materials and Metallurgy, Northeastern University，Shenyang 110004，Liaoning, China; 2.School of Information Science and Engineering, Northeastern University，Shenyang 110004, Liaoning, China
摘要 给出了求解铁路车辆调度问题的粒子群算法流程；分析了求解不同调度问题的3种粒子表示法，即基于粒子位置次序(Particle Position Sequence，PPS)的粒子表示法、基于粒子位置取整操作(Particle Position Roundingoff，PPR)的粒子表示法和基于PPSPPR的混合粒子表示法；讨论了PPSPPR混合粒子表示法与调度解空间的映射关系和解码方法。将第3种方法应用于实际车辆调度系统中，求解出机车送货作业行驶的最短路径，建立了基于粒子群优化算法的企业铁路优化调度模型。
Abstract：The flow procedure of particle swarm algorithm for solving railroad vehicle optimization scheduling problem was introduced, and three kinds of particle representations were analyzed, which include the particle representation based on Particle Position Sequence (PPS), the particle representation based on Particle Position Roundingoff (PPR) and the hybrid particle representation based on PPSPPR. The mapping relation between particle representation based on PPSPPR and solution space of the scheduling and the decoding approaches were discussed. The third method is applied to the practical vehicle optimization scheduling system, and the shortest path for engine delivering task is solved. In the meantime, scheduling model based on the hybrid particle swarm optimization algorithm was established.
[J]. 中国冶金, 2007, 17(9): 34-34.
TAO Ziyu1,JIANG Maofa1,LIU Junfang2,WANG Anna2. Study of Vehicle Optimization Scheduling System for Metallurgy Enterprise Railroad Based on Particle Swarm Optimization Algorithm. China Metallurgy, 2007, 17(9): 34-34.
