A Hybrid Genetic Algorithm for Resource Leveling Problem

摘要：

In this paper a hybrid GA (Genetic algorithm) is introduced for resource leveling problem. The proposed method combines GA with minimum moment method. The proposed method could converge faster than GA could in experiment. In this paper a hybrid GA (Genetic algorithm) is introduced for resource leveling problem. The proposed method combines GA with minimum moment method. The proposed method could converge faster than GA could in experiment.

关键词： Resource leveling Hybrid generic algorithm Minimum moment method.

作者: Hanping Zhao Hanping Zhao Liming Liu Jiadong Jiang Ke Li

作者单位: State Key Laboratory of Earth Surface Processes and Resource Ecology (Beijing Normal University), Be Academy of Disaster Reduction and Emergency Management of Civil Affairs & Ministry of Education, Bei Intellectual Property Publishing House, Beijing 100088, China Chain Aero Poly-technology Establishment, Beijing 100028, China North China System Engineering Institute, China North Industries Group Corporation, Beijing 100089,

会议类型: 国际会议

会议名称: The 1st International Conference on Risk Analysis and Crisis Response(首届风险分析与危机反应国际学术研讨会)

会议地点: 上海

会议语种:英文

页码: 786-790

在线出版日期: 2007-09-25（万方平台首次上网日期，不代表论文的发表时间）