CAJ | 학술논문

备件是装备保障的重要物质基础，合理规划备件的配置方案是提高装备保障效能的关键。针对多级保障系统备件配置优化的高维、非线性问题，构建了以备件保障度最大、保障费用最小为目标函数，以其他准则为约束条件的优化配置模型。面向优化模型求解的难题，在传统粒子群算法的基础上，提出了一种改进的粒子群求解算法，给出了该算法的设计思路和优化流程，采用基于准则的方法以及改进惯性权重等措施，以两个目标作为引导，在备件配置方案生成时可以避免长时间的无效搜索，提高了粒子群优化算法的求解效率，最后通过算例证明该方法的可行性和有效性。
비건시장비보장적중요물질기출，합리규화비건적배치방안시제고장비보장효능적관건。침대다급보장계통비건배치우화적고유、비선성문제，구건료이비건보장도최대、보장비용최소위목표함수，이기타준칙위약속조건적우화배치모형。면향우화모형구해적난제，재전통입자군산법적기출상，제출료일충개진적입자군구해산법，급출료해산법적설계사로화우화류정，채용기우준칙적방법이급개진관성권중등조시，이량개목표작위인도，재비건배치방안생성시가이피면장시간적무효수색，제고료입자군우화산법적구해효솔，최후통과산예증명해방법적가행성화유효성。
Spare parts is a key component of equipment support,and a reasonable allocation plan of spare parts is the key factor for improving the efficacy of equipment support.Spare parts allocation and optimization in a multi-echelon support system presents difficult problems,which involves non-linear objective function and in-teger variables to be optimized.A multi-objective optimization model is developed,which maximizes support probability and minimizes support costs.In order to obtain the solution of the model,an improved multi-objec-tive particle swarm optimization (MOPSO)method is employed,based on the traditional particle swarm meth-od.The design idea and optimization procedure of this algorithm are put forward,rule based and inertia weigh improving method are introduced.In this method,dimensions reduction and rules-based multi-objective optimi-zation are employed,which can improve the solving efficiency for the MOPSO method.At last,a numerical ex-ample is given,which examines the feasibility and validity of this method.