关键词: 虚拟企业, 粒子群优化算法, 任务分配, 逼近理想解排序

Abstract: To solve the task allocation in virtual enterprise, a multi-object decision-making optimization model on task allocation is constructed. The traditional Particle Swarm Optimization（PSO） algorithm is analyzed. It is improved by automatically adjusting the weight of speed inertia and acceleration coefficient, and by introducing the mutation operation in genetic algorithm. In process of solving the task allocation model by the improved PSO algorithm, the mapping between problems and particles and the computing method of particle position fitness value by Technique for Order Preference by Similarity to Ideal Solution（TOPSIS） are researched. Then, a task allocation algorithm based on the improved PSO algorithm is designed. Finally, the feasibility and validity of the method is verified by an application example and a simulation test.

Key words: virtual enterprise, Particle Swarm Optimization（PSO）, task allocation, Technique for Order Preference by Similarity to Ideal Solution（TOPSIS）