Collaborative Tasks Scheduling Method Based on Hybrid of Particle Swarm Optimization

摘要：

A hybrid particle swarm optimization (PSO) was put forward.The collaboration design assignment scheduling problem was modeled,relations among the tasks were presented with tree structure,and taskstime matrix was used to express the design center abilities to complete the tasks.Then the hybrid algorithm was showed,in which simulated annealing was added in particle swarm optimization to improve the ability to seek the optimization.Finally,a simulation experiment was carried out by using the proposed algorithm.The convergent velocity would be fast and the ability to optimize would be better.

关键词： Collaboration design Tasks scheduling Particle swarm optimization Simulated annealing Hybrid algorithm

作者: XU Hong-xiang TANG Wen-cheng WU Jing-hua

作者单位: School of Mechanical Engineering,Southeast University,Nanjing,211189,China School of Mechanical Engi School of Mechanical Engineering,Southeast University,Nanjing,211189,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 415-418

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）