%0 Journal Article
%T Application of artificial immune particle-swarm-optimization algorithm to system-reliability optimization<br>人工免疫粒子群算法在系统可靠性优化中的应用
%A RUAN Min-zhi
%A LI Qing-min
%A WANG Hong-jun
%A HUANG Ao-lin
%A MA Jie
%A <br>阮旻智
%A 李庆民
%A 王红军
%A 黄傲林
%A 马杰
%J 控制理论与应用
%D 2010
%I 
%X 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.
%K artificial immune system
%K particle swarm optimization algorithm
%K system reliability
%K optimization<br>人工免疫系统
%K 粒子群算法
%K 系统可靠性
%K 优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=DA0D9BDFBC7EC5B81483105C1E867855&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=9E9FFC2CDB44A291&eid=A35E3FD659BF2630&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=1&reference_num=14