|
|||||
|
|
| 改进的粒子群优化算法在可靠性问题中的应用 | |
| 引用本文： | 邹德旋,王高楠,高立群,吴建华. 改进的粒子群优化算法在可靠性问题中的应用[J]. 东北大学学报(自然科学版), 2010, 31(9): 1234-1237. DOI: - |
| 作者姓名： | 邹德旋 王高楠 高立群 吴建华 |
| 作者单位： | 东北大学,信息科学与工程学院,辽宁,沈阳,110004;清华大学,机械工程学院,北京,100084 |
| 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 |
Application of Improved PSO Algorithm to Reliability Problems |
|
| ZOU De-xuan,WANG Gao-nan,GAO Li-qun,WU Jian-hua. Application of Improved PSO Algorithm to Reliability Problems[J]. Journal of Northeastern University(Natural Science), 2010, 31(9): 1234-1237. DOI: - | |
| Authors: | ZOU De-xuan WANG Gao-nan GAO Li-qun WU Jian-hua |
| Affiliation: | ZOU De-xuan1,WANG Gao-nan2,GAO Li-qun1,WU Jian-hua1(1.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China,2.School of Mechanical Engineering,Tsinghua University,Beijing 100084,China.) |
| 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 s... |
| Keywords: | IPSO(improved PSO) algorithm reliability problem velocity updating inertia weight convergence |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《东北大学学报(自然科学版)》浏览原始摘要信息 | |
| 点击此处可从《东北大学学报(自然科学版)》下载全文 | |