A Population-Membrane-System-Inspired Evolutionary Algorithm for Distribution Network Reconfiguration

摘要：

　　This paper develops a population-membrane-system-inspired evolutionary algorithm,PMSIEA,which is designed by using a population P system and a quantum-inspired evolutionary algorithm (QIEA).We use a population P system with three cells to organize three types of QIEAs,where communications between cells are performed at the level of genes,instead of the level of individuals reported in the existing membrane algorithms in the literature.Knapsack problems are applied to discuss the parameter setting and to test the effectiveness of PMSIEA.Experimental results show that PMSIEA is superior to four representative QIEAs and our previous work with respect to the quality of solutions and the elapsed time.We also use PMSIEA to solve the optimal distribution system reconfiguration problem in power systems for minimizing the power loss.

关键词： Membrane computing membrane-inspired evolutionary algorithm population P system distribution system reconfiguration

作者: Gexiang Zhang Miguel A.Gutiérrez-Naranjo Yanhui Qin Marian Gheorghe Jixiang Cheng

作者单位: School of Electrical Engineering,Southwest Jiaotong University, Chengdu 610031, P.R.China Research Group on Natural Computing Department of Computer Science and Artificial Intelligence Unive Department of Computer Science, University of Sheffield Regent Court, Portobello Street, Sheffield S

会议类型: 国际会议

会议名称: Asian Conference on Membrane Computing (2012亚洲膜计算国际会议)(ACMC2012)

会议地点: 武汉

会议语种:英文

页码: 139-160

在线出版日期: 2012-10-15（万方平台首次上网日期，不代表论文的发表时间）