Cultural Algorithm Based on Particle Swarm Optimization for Partner Selection of Virtual Enterprise
A novel cultural algorithm based on particle swarm optimization (PSO) algorithm was proposed in this paper. After analyzing the partner selection problems of virtual enterprise, the CPSO algorithm was presented to solve enterprise alliance problem within reasonable time and cost. There are certain number partners of each sub-task in virtual enterprise environment. The objective is, by selecting the optimal combination of partners, to minimize project’s completion time and project’s total cost. We tested the CPSO algorithm against the PSO method. Simulation results demonstrate that it can be superior to the regular PSO. We also tested the CPSO algorithm with the exhaustion method to show the algorithm’s efficiency.
cultural algorithm particle swarm optimization algorithm virtual enterprise partner selection
ZHOU Wei BU Yan-ping
School of Business, East China University of Science and Technology, Shanghai, 200237, P.R.China School of Technology, Shanghai Jiaotong University, Shanghai, 201101, P.R.China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
2238-2241
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）