%0 Generic %D 2012 %T A Population-Membrane-System-Inspired Evolutionary Algorithm for Distribution Network Reconfiguration %A Gexiang Zhang %A Miguel A. GutiƩrrez-Naranjo %A Yanhui Qin %A Marian Gheorghe %A Ji-Xiang Gheng %E Linqiang Pan %E Gheorghe Paun %E Tao Song %C Wuhan, China %I Huazhong University of Science and Technology %K distribution system reconfiguration %K Membrane computing %K membrane-inspired evolutionary algorithm %K population P system %P 139 -160 %S Pre-Proceedings of Asian Conference on Membrane Computing (ACMC 2012) %X This paper develops a population-membrane-system-inspired evolutionary algorithm, PMSIEA, which is designed by using a popula- tion 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 mem- brane 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 representa- tive QIEAs and our previous work with respect to the quality of solutions and the elapsed time. We also use PMSIEA to solve the optimal distri- bution system reconfiguration problem in power systems for minimizing the power loss. %8 10/2012