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 shipbome 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.