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Digital Services and Information Intelligence 13th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2014, Sanya, China, November 28-30, 2014. Proceedings |
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Conference papers
Quantum-Behaved Particle Swarm Optimization Based on Diversity-Controlled
Abstract : Quantum-behaved particle swarm optimization (QPSO) algorithm is a global convergence guaranteed algorithms, which outperforms original PSO in search ability but has fewer parameters to control. But QPSO algorithm is to be easily trapped into local optima as a result of the rapid decline in diversity. So this paper describes diversity-controlled into QPSO (QPSO-DC) to enhance the diversity of particle swarm, and then improve the search ability of QPSO. The experiment results on benchmark functions show that QPSO-DC has stronger global search ability than QPSO and standard PSO.
Cited literature [24 references]
https://hal.inria.fr/hal-01342138
Contributor : Hal Ifip <>
Submitted on : Tuesday, July 5, 2016 - 2:38:55 PM
Last modification on : Wednesday, July 6, 2016 - 10:09:02 AM
Contributor : Hal Ifip <>
Submitted on : Tuesday, July 5, 2016 - 2:38:55 PM
Last modification on : Wednesday, July 6, 2016 - 10:09:02 AM
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