Novel Parallel Particle Swarm Optimization Algorithms Applied on the Multi-task Cooperation

摘要：

With more and more applications of workflow technology, the workflow systems must be flexible and dynamic in order to effectively adapt for the uncertain and error-prone collaborative work environments. This paper adds the interaction and machine learning to the workflow model proposed by Workflow Management Coalition and then applies the parallel particle swarm optimization algorithm to solve it, so that workflow modeling and enactment are both flexible while the complexity of whole system is decrease. The improvement based on the model manifest that it not only realizes the flexible workflow, but also supports the personality of workflow.

作者: WANG Jing-lian LIU Hong LI Shao-hui

作者单位: Teaching Department of Modern Education Technology, Ludong University, Yantai, 264025,China School of Information Management, Shandong Normal University, Jinan, 250014, China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 1208-1213

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）