关键词: 粒子群算法, 跨组织资源链, 数学模型, 仿真算例

Abstract:

In view that temporal constraint task chain drived resource chain construction to solve problems on inter organizational resources sharing, a non-constraint mathematical model for inter-organizational resource chain construction was proposed, the mathematical model adopted penalty function and aimed to time,cost and service capacity comprehensive optimization. Then, an improved binary PSA for solving the model was designed. By introducing particle position coding,parameter setting and position updating which were time changing and self adapting, the improved algorithm can enhance convergence speed and global search capability. Through a simulation example, according to the improved binary PSA, an inter-organizational resources chain was realized which was based on time, cost and service capacity comprehensive optimization. The results of the study and comparative analysis show that the method is effective and feasible.

Key words: particle swarm algorithm(PSA), inter-organizational resources chain, mathematical model, simulation example