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| 基于多目标粒子群算法的可靠性稳健优化设计 | |
| 引用本文： | 张义民,刘仁云,于繁华. 基于多目标粒子群算法的可靠性稳健优化设计[J]. 机械设计, 2006, 23(1): 3-5,27 |
| 作者姓名： | 张义民 刘仁云 于繁华 |
| 作者单位： | 1. 东北大学,机械工程与自动化学院,辽宁,沈阳,110004 2. 吉林大学,机械科学与工程学院,吉林,长春,130025 3. 长春师范学院,计算机系,吉林,长春,130032 |
| 摘 要： | 采用随机撮动法和粒子群算法对车辆零部件进行可靠性稳健优化设计，利用模糊的多目标粒子群优化算法求出所有满足约束性条件的pareto解集，结合实际情况依据pareto解集确定零部件的规格。实验证明，该方法能迅速有效地获得可靠性稳健设计的信息。 |
| 关 键 词： | 稳健设计 粒子群算法 随机摄动法 多目标优化 模糊 |
| 文章编号： | 1001-2354（2006）01-0003-03 |
| 收稿时间： | 2005-03-31 |
| 修稿时间： | 2005-03-312005-07-14 |
Steady optimization design of reliability based on algorithm of multi-objected particle swarm |
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| ZHANG Yi-min,LIU Ren-yun,YU Fan-hua. Steady optimization design of reliability based on algorithm of multi-objected particle swarm[J]. Journal of Machine Design, 2006, 23(1): 3-5,27 | |
| Authors: | ZHANG Yi-min LIU Ren-yun YU Fan-hua |
| Affiliation: | 1. School of Mechanical and Automation Engineering, Northeast University, Shenyang 110004, China; 2. School of Mechanical Science and Engineering, Nanling Campus of Jilin University, Changchun 130025, China; 3. Computer Department of Changchun Teachers Training College, Changchun 130032, China |
| Abstract: | Adopting the stochastic perturbation method and particle swarm algorithm to carry out reliability steady optimal design, utilizing the fuzzy multl-objective particle swarm optimization method to find out all pareto solution sets that satisfy the constraint conditions, by combining with the practical situation and in accordance with pareto solution sets to determine the specifications of parts and components. It is testified by experiment that this method could rapidly and effectively obtain the information of reliability steady design. |
| Keywords: | steady design particle swarm algorithm stochastic perturbation method multi-objective optimization fuzzy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |