变权TOPSIS评价的导弹总体参数粒子群优化设计方法

It is difficult to meet the multi-objective optimization of the missile's overall parameters for the traditional single-objective optimization method,whereas the multidisciplinary design optimization method is complicated and difficult to be used in the concept of missile design stage.In order to solve this problem,a multi attribute evaluation method on the basis of variable weight synthesis Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the principle of particle swarm algorithm fusion are introduced.Based on the standard particle swarm optimization algorithm, the variable weight state variables were constructed by using the variable weight synthesis principle, and calculation of the feasible Euclidean distance of each group of particles (the overall parameter scheme) is conducted with TOPSIS evaluation method.The Euclidean distance is taken as the comprehensive evaluation target to overall parameter optimization design research work.The results show that the particle swarm optimization design method based on variable weight synthesis TOPSIS can effectively solve the problem of multi-parameter and multi-attribute optimization in the conceptual design stage of the missiles.Compared with the traditional design method,it has several advantages such as clear concept,flexible method and high efficiency.