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2009 WRI Global Congress on Intelligent Systems
A Novel Swarm Intelligence Optimization Based on Gene Mutation
Xiamen, China
May 19-May 21
ISBN: 978-0-7695-3571-5
| ASCII Text | x | ||
| Mingyi Cui, "A Novel Swarm Intelligence Optimization Based on Gene Mutation," 2010 Second WRI Global Congress on Intelligent Systems, vol. 1, pp. 144-148, 2009 WRI Global Congress on Intelligent Systems, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/GCIS.2009.27, author = {Mingyi Cui}, title = {A Novel Swarm Intelligence Optimization Based on Gene Mutation}, journal ={2010 Second WRI Global Congress on Intelligent Systems}, volume = {1}, year = {2009}, isbn = {978-0-7695-3571-5}, pages = {144-148}, doi = {http://doi.ieeecomputersociety.org/10.1109/GCIS.2009.27}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2010 Second WRI Global Congress on Intelligent Systems TI - A Novel Swarm Intelligence Optimization Based on Gene Mutation SN - 978-0-7695-3571-5 SP144 EP148 A1 - Mingyi Cui, PY - 2009 VL - 1 JA - 2010 Second WRI Global Congress on Intelligent Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GCIS.2009.27
Particle swarm optimization (PSO) is one of important swarm intelligence (SI) methods. So far, more and more results of PSO application have been published by researchers. The premature convergence and lower local search performance are drawbacks of PSO. This paper proposes a novel gene mutation PSO (GMPSO), mutates some components of particles by the probability, makes a lot of experiments. The results of the research and the experiments indicate that the method can obviously improve the performance of PSO, is credible in theory and is feasible in technique.
Citation:
Mingyi Cui, "A Novel Swarm Intelligence Optimization Based on Gene Mutation," gcis, vol. 1, pp.144-148, 2009 WRI Global Congress on Intelligent Systems, 2009
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