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2013 (Vol. 6, Issue: 01)
Article Information:

Relay Optimization Design Algorithm Based on Swarm Intelligence

Hanmin Liu, Qinghua Wu and Xuesong Yan
Corresponding Author:  Xuesong Yan 

Key words:  Genetic algorithm, particle swarm optimization, relay optimization design, relay volume model , , ,
Vol. 6 , (01): 165-170
Submitted Accepted Published
November 08, 2012 December 28, 2012 June 05, 2013

In this study, particle swarm optimization algorithm is developed under the inspiration of behavior laws of bird flocks, fish schools and human communities and it is high convergence speed. Moreover, aim at the disadvantages of traditional genetic algorithm, we proposes a new algorithm based on particle swarm optimization algorithm, the new algorithm keeps not only the fast convergence speed characteristic of PSO, but effectively improves the capability of global searching as well. The experiment results showed this new algorithm is effective for relay optimization design.
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  Cite this Reference:
Hanmin Liu, Qinghua Wu and Xuesong Yan, 2013. Relay Optimization Design Algorithm Based on Swarm Intelligence.  Research Journal of Applied Sciences, Engineering and Technology, 6(01): 165-170.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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