Ponencia
A Membrane-Inspired Evolutionary Algorithm with a Population P System and its Application to Distribution System Recon guration
Autor/es | Zhang, Gexiang
Gutiérrez Naranjo, Miguel Ángel Qin, Yanhui Gheorgue, Marian |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2012 |
Fecha de depósito | 2016-02-05 |
Publicado en |
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ISBN/ISSN | 978-84-940056-6-4 |
Resumen | 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 ... 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. |
Agencias financiadoras | Junta de Andalucía Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | TIN-2009-13192
P08-TIC-04200 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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psma_bwmc.pdf | 319.6Kb | [PDF] | Ver/ | |