基于模糊关联熵的成像侦察星座优化  

Optimization of imaging reconnaissance constellation based on relative entropy of fuzzy sets

作　　者：刘亚丽 熊伟 韩驰 熊明晖 于小岚 LIU Yali;XIONG Wei;HAN Chi;XIONG Minghui;YU Xiaolan(Science and Technology on Complex Electronic System Simulation Laboratory,Space Engineering University,Beijing 101416,China)

机构地区：[1]航天工程大学复杂电子系统仿真实验室,北京101416

出　　处：《指挥控制与仿真》2024年第5期45-54,共10页Command Control & Simulation

基　　金：复杂电子系统仿真实验室基金资助项目(6142401003022109)。

摘　　要：成像侦察星座的优化对于侦察时效性具有重要意义。当前侦察星座优化采用基于Pareto支配的进化算法,针对此类算法在解决优化目标函数维度大于3的侦察星座优化问题上出现的选择压力不足、多样性差等问题,提出一种改进的基于模糊关联熵的粒子群算法(Improved Particle Swarm Optimization Algorithm Based on Relative Entropy of Fuzzy Sets,IFREM-PSO)。算法对自适应惯性权重策略进行改进,增强了收敛速度与收敛精度;引入变异策略,有利于跳出局部最优解;对外部档案维护策略进行改进,增强多样性。以面向区域目标的可见光侦察星座的设计与优化为背景,分别使用多目标粒子群算法MOPSO(Multiple Object Particle Swarm Optimization)、基于模糊关联熵算法FREM-PSO(Particle Swarm Optimization Algorithm Based on Relative Entropy of Fuzzy Sets)和本文提出的IFREM-PSO对侦察星座进行优化。实验结果表明,FREM-PSO算法在该问题上具有更好的表现,而相比FREM-PSO算法,IFREM-PSO算法在收敛速度上有显著提升,在收敛效果和多样性上表现更好。The optimization of imaging reconnaissance constellation is of great significance for reconnaissance timeliness.At present,evolutionary algorithms based on Pareto are often used in the optimization of reconnaissance constellation.In order to solve the problems of insufficient selection pressure and poor diversity of such algorithms in the optimization of reconnaissance constellation whose objective function dimension is greater than three,the improved particle swarm optimization algorithm based on relative entropy of fuzzy sets(IFREM-PSO)is proposed.The algorithm improves the adaptive inertial weight strategy and enhances the convergence speed and accuracy.The introduction of variation strategy is conducive to jumping out of the local optimal solution.Improve external archive maintenance policy to enhance diversity.Based on the design and optimization of regional target-oriented visible light reconnaissance constellation,MOPSO,FREM-PSO and the IFREM-PSO are used to optimize the reconnaissance constellation.The experimental results show that the algorithm based on fuzzy relative entropy has a better performance in this problem,and compared with FREM-PSO algorithm,IFREM-PSO algorithm has a significant improvement in convergence speed,and a better performance in convergence effect and diversity.

关 键 词：高维多目标优化 侦察星座 模糊关联熵 粒子群算法 星座优化 

分 类 号：E911[军事] V474.27[航空宇航科学与技术—飞行器设计]