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2012 Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization
Tao Zhang, Tiesong Hu, Jia-wei Chen, Zhongping Wan, Xuning Guo
Abstr. Appl. Anal. 2012: 1-20 (2012). DOI: 10.1155/2012/102482

Abstract

An elite quantum behaved particle swarm optimization (EQPSO) algorithm is proposed, in which an elite strategy is exerted for the global best particle to prevent premature convergence of the swarm. The EQPSO algorithm is employed for solving bilevel multiobjective programming problem (BLMPP) in this study, which has never been reported in other literatures. Finally, we use eight different test problems to measure and evaluate the proposed algorithm, including low dimension and high dimension BLMPPs, as well as attempt to solve the BLMPPs whose theoretical Pareto optimal front is not known. The experimental results show that the proposed algorithm is a feasible and efficient method for solving BLMPPs.

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Tao Zhang. Tiesong Hu. Jia-wei Chen. Zhongping Wan. Xuning Guo. "Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization." Abstr. Appl. Anal. 2012 1 - 20, 2012. https://doi.org/10.1155/2012/102482

Information

Published: 2012
First available in Project Euclid: 28 March 2013

zbMATH: 1256.68139
MathSciNet: MR2999913
Digital Object Identifier: 10.1155/2012/102482

Rights: Copyright © 2012 Hindawi

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