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A Membrane-Inspired Evolutionary Algorithm with a Population P System and its Application to Distribution System Recon guration

 

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Opened Access A Membrane-Inspired Evolutionary Algorithm with a Population P System and its Application to Distribution System Recon guration
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Author: Zhang, Gexiang
Gutiérrez Naranjo, Miguel Ángel
Qin, Yanhui
Gheorgue, Marian
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Date: 2012
Published in: Proceedings of the Tenth Brainstorming Week on Membrane Computing, (2)277-292. Sevilla, E.T.S. de Ingeniería Informática, 30 de Enero-3 de Febrero, 2012,
ISBN/ISSN: 978-84-940056-6-4
Document type: Presentation
Abstract: This paper develops a membrane-inspired evolutionary algorithm, PSMA, 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 PSMA. Experimental results show that PSMA is superior to four representative QIEAs and our previous work with respect to the quality of solutions and the elapsed time. We also use PSMA to solve the optimal distribution system reconfiguration problem in power systems for minimizing the power loss.
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URI: http://hdl.handle.net/11441/34158

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