A Combined Local Best Particle Swarm Optimization Algorithm

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This paper proposes a combined local best particle swarm optimization algorithm (CLBPSO) which combined with local optimum particle information. And it gives three ways of combination local information. Experimental results indicate that the CLBPSO algorithm improves the search performance on the benchmark functions significantly. On the basis of experimental results, we will also compare these three methods with each other to find the best one.

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Periodical:

Edited by:

Prasad Yarlagadda and Yun-Hae Kim

Pages:

1388-1391

Citation:

Z. G. Lian et al., "A Combined Local Best Particle Swarm Optimization Algorithm", Applied Mechanics and Materials, Vols. 333-335, pp. 1388-1391, 2013

Online since:

July 2013

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$38.00

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