东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (9): 1234-1237.DOI: -

• 论著 • 上一篇    下一篇

改进的粒子群优化算法在可靠性问题中的应用

邹德旋;王高楠;高立群;吴建华;   

  1. 东北大学信息科学与工程学院;清华大学机械工程学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-09-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60674021)

Application of improved PSO algorithm to reliability problems

Zou, De-Xuan (1); Wang, Gao-Nan (2); Gao, Li-Qun (1); Wu, Jian-Hua (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) School of Mechanical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-09-15 Published:2013-06-20
  • Contact: Zou, D.-X.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

806

摘要： 提出了一种改进的粒子群优化(IPSO)算法以解决可靠性问题.IPSO算法使用3种策略来改进粒子群优化算法(PSO)的速度更新步骤,这有利于提高算法对解空间的开发能力.另外,一种动态调整的惯性权重被引入到速度更新中以平衡IPSO算法的全局搜索和局部搜索.实验结果表明,在解决可靠性问题上,IPSO算法比其他两种粒子群优化算法具有更强的收敛性和稳定性.IPSO算法是解决可靠性问题的一个有效的选择.

关键词: 改进的粒子群优化算法, 可靠性问题, 速度更新, 惯性权重, 收敛性

Abstract: An improved particle swarm optimization (IPSO) algorithm was proposed to solve reliability problems. The IPSO made use of three strategies to improve the velocity updating in PSO algorithm, thus benefiting the improvement of its develop ability to space solution. In addition, a dynamically adjusted inertia weight was introduced into the velocity updating so as to balance the global search and the local search of the IPSO algorithm. Experimental results showed that the IPSO algorithm has stronger convergence and stability than the other two PSO algorithms for solving reliability problems. So, IPSO is an efficient alternative for solving reliability problems.

中图分类号: