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Article Information:
Relay Optimization Design Algorithm Based on Swarm Intelligence
Hanmin Liu, Qinghua Wu and Xuesong Yan
Corresponding Author: Xuesong Yan
Submitted: November 08, 2012
Accepted: December 28, 2012
Published: June 05, 2013 |
Abstract:
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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.
Key words: Genetic algorithm, particle swarm optimization, relay optimization design, relay volume model , , ,
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Cite this Reference:
Hanmin Liu, Qinghua Wu and Xuesong Yan, . Relay Optimization Design Algorithm Based on Swarm Intelligence. Research Journal of Applied Sciences, Engineering and Technology, (01): 165-170.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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