Research Article | OPEN ACCESS
Relay Optimization Design Algorithm Based on Swarm Intelligence
1, 2Hanmin Liu, 3, 4Qinghua Wu and 1, 5Xuesong Yan
1School of Computer Science, China University of Geosciences
2Wuhan Institute of Ship Building Technology
3Hubei Provincial Key Laboratory of Intelligent Robot
4School of Computer Science and Engineering, Wuhan Institute of
Technology, Wuhan 430074, China
5Department of Computer Science, University of Central Arkansas, Conway 72035, USA
Research Journal of Applied Sciences, Engineering and Technology 2013 1:165-170
Received: November 08, 2012 | Accepted: December 28, 2012 | Published: June 05, 2013
Abstract
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.
Keywords:
Genetic algorithm, particle swarm optimization, relay optimization design, relay volume model,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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