A GA-BASED APPROACH FOR SOLVING FUZZY PROJECT SCHEDULING

摘要：

In this paper, a new optimization method based on GA for solving resource-constraint project scheduling with uncertain activity duration is proposed.Fuzzy set theory is used to represent the uncertainties of activity duration.A searching technique using genetic algorithm is adopted to search for the minimum of fuzzy project makespan.A case with uncertain activity duration is used to illustrate the performance of the proposed method.

关键词： Project scheduling Genetic algorithm Fuzzy set theory

作者: YAN LIU SHENG-LI ZHAO XI-PING ZHANG GUANG-QIAN DU

作者单位: School of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing, 10008 Rural and Urban Construction College, Hebei Agricultural University, Baoding, 07100, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3153-3156

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）