Process Mining Based on Improved Hybrid Genetic Algorithm

摘要：

Facing with the typical problems on the business process mining genetic algorithm, a process mining approach based on hybrid genetic algorithm is proposed. The causal matrix is brought as the internal representation of individuals of the improved algorithm, and the reasonable fitness functions is proposed. To verify the performance, experiments are conducted in the process mining framework. The result is expressed in terms of Petri net.

关键词： Process Mining Hybrid GeAetic Algorithm Petri nets Causal matrix

作者: Zhou Yixuan Ye Xiaohu Xue Gang

作者单位: Laboratory of Network Intelligence Computing School of Information, Yunnan University Kunming, China Laboratory of Network Intelligence Computing Yunnan University Kunming, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1887-1890

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）