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  • 标题:An Improved Particle Swarm Optimization Algorithm and Its Application
  • 本地全文:下载
  • 作者:Xuesong Yan
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2013
  • 卷号:10
  • 期号:1
  • 出版社:IJCSI Press
  • 摘要:In this paper, aim at the disadvantages of standard Particle Swarm Optimization algorithm like being trapped easily into a local optimum, we improves the standard PSO and proposes a new algorithm to solve the overcomes of the standard PSO. The new algorithm keeps not only the fast convergence speed characteristic of PSO, but effectively improves the capability of global searching as well. Compared with standard PSO on the Benchmarks function, the results show that the new algorithm is efficient, we also use the new algorithm to solve the TSP and the experiment results show the new algorithm is effective for the this problem.
  • 关键词:Particle Swarm Optimization; Traveling Salesman Problem; Particle; Convergence
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