The Study on Modified Particle Swarm Algorithm to Optimize Supply chain Management for Fourth Party Logistics Enterprises
The concept, connotation and responsibility of fourth party logistics are put forward and expatiated based on the corresponding content of third parry logistics, which are combined with the development trend and characteristics of integrated logistics management and external market environment. Then the problem on supply-chain management optimization for fourth party Logistics enterprises is regarded as a starting point, combined with the developing status in quo and connotation of them. After the principle, formulas and process of standard particle swarm optimization algorithm are expounded, Inertia weight factor and contraction factor are introduced into standard particle swarm optimization, which is combined with simulated annealing algorithm, so it is formed modified simulated annealing- particle swarm optimization to solve the problem of supply chain scheduling management, supply chain partners selection, supply chain node and process management optimization for fourth party logistics enterprises. At last the principle, formulas and process of modified particle swarm optimization are expounded to optimize supply chain management for fourth party Logistics enterprises, of which are combined with simulated annealing algorithm and standard particle swarm optimization algorithm, and it is proved that its optimal solution is better than others on simulation calculation.
Modified particle swarm algorithm supply-chain management, optimize fourth party logistics enterprises
Guoyan Liu
School of Economy and Trade,Zhijiang College,Zhejiang University of Technology,Hangzhou,P.R.China
国际会议
太原
英文
163-166
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）