Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm

作     者：周鲜成 赵志学 周开军 贺彩虹 

作者机构：School of Computer and Electronic EngineeringHunan University of Commerce School of FinanceHunan University of Commerce 

基　　金：Project(2011ZK2030)supported by the Soft Science Research Plan of Hunan Province,China Project(2010ZDB42)supported by the Social Science Foundation of Hunan Province,China Projects(09A048,11B070)supported by the Science Research Foundation of Education Bureau of Hunan Province,China Projects(2010GK3036,2011FJ6049)supported by the Science and Technology Plan of Hunan Province,China 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2012年第19卷第2期

页      码：482-487页

摘      要：As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.

主 题 词：粒子群优化算法 闭环供应链 网络设计 再制造 遗传 运算速度 局部最优 健身功能 

学科分类：12[管理学] 1201[管理学-管理科学与工程类] 081104[081104] 08[工学] 0805[工学-能源动力学] 0802[工学-机械学] 0835[0835] 0811[工学-水利类] 0801[工学-力学类] 0702[理学-物理学类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1007/s11771-012-1029-y

馆 藏 号：203512283...