Distribution Network Optimal Planning based on Improved Partheno-Genetic Algorithm

摘要：

Nowadays Traditional Genetic Algorithm has already been applied in a good many domains as a kind of nonnumeric vale calculation optimum method. But this algorithm self has deficiencies that premature convergence, low ability of local searching, no norms in encoding, and failing to express constraint conditions of problem, which have limited to its application. So Partheno-Genetic Algorithm (PGA) is put forward in this paper on the base of Traditional Genetic Algorithm. And Improved Partheno-Genetic Algorithm is introduced to optimize distribution network optimal planning. The simulation results have indicated that Improved Partheno-genetic Algorithm is validity and feasibility, which also can be used in many practical domains.

关键词： Distribution network optimal planning Partheno-Genetic Algorithm Improved Partheno-Genetic Algorithm

作者: Chen Junhong Zhou Yuhong Xie Yunfang

作者单位: College of Mechanical and Electrical Engineering, Hebei Agriculture University, Baoding 071001, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 649-652

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）