| 引用本文: | 阮旻智,李庆民,王红军,黄傲林,马杰.人工免疫粒子群算法在系统可靠性优化中的应用[J].控制理论与应用,2010,27(9):1253~1258.[点击复制] |
| RUAN Min-zhi,LI Qing-min,WANG Hong-jun,HUANG Ao-lin,MA Jie.Application of artificial immune particle-swarm-optimization algorithm to system-reliability optimization[J].Control Theory and Technology,2010,27(9):1253~1258.[点击复制] |
|
| 人工免疫粒子群算法在系统可靠性优化中的应用 |
| Application of artificial immune particle-swarm-optimization algorithm to system-reliability optimization |
| 摘要点击 2083 全文点击 2777 投稿时间：2009-07-24 修订日期：2009-11-28 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/j.issn.1000-8152.2010.9.CCTA090977 |
| 2010,27(9):1253-1258 |
| 中文关键词 人工免疫系统 粒子群算法 系统可靠性 优化 |
| 英文关键词 artificial immune system particle swarm optimization algorithm system reliability optimization |
| 基金项目 国家自然科学基金资助项目(70871117); 总装预研基金资助项目(513040303). |
|
| 中文摘要 |
| 为了优化舰载装备系统在其设计初期的可靠性, 根据模糊优选理论, 建立了基于正负理想方案的可靠性分配的多指标模糊优化模型. 针对基本粒子群(PSO)算法易陷入早熟状态以及群体缺乏多样性等不足之处, 将人工免疫系统(AIS)原理与改进的粒子群算法有机结合, 并对粒子的飞行速度进行控制, 提出一种基于人工免疫的粒子群算法(AI-PSO). 将该算法应用于系统可靠性优化求解中, 仿真试验结果表明, 相比其他算法而言, 该算法具有较强的
全局搜索能力, 其优化结果更为合理. |
| 英文摘要 |
| To optimize the reliability of a shipborne equipment system in the early stage of design, we employ the fuzzy-optimum-selection theory to build a fuzzy multi-targets-optimization model for this equipment system based on the plus-and-minus ideal project. Because the particle-swarm-optimization(PSO) algorithm is prone to be trapped into a local extremum and the colony lacks in diversity, we combine the theory of artificial-immune-system(AIS) and the improved PSO algorithm to put forward the artificial-immune-particle-swarm-optimization(AIPSO) to control the flight-velocity of particles. This algorithm has been applied to the system-reliability optimization; the simulation results show that it has a better global search capability and provides more rational optimization results over other algorithms. |
|
|
|
|
|