双层随机机会约束规划的通信干扰任务分配优化仿真

Research and Simulation of Communication Jamming Task Assignment Optimization Based on Bi-level Stochastic Chance-constraint Programming

研究不确定条件下的通信干扰任务分配优化问题具有重要的军事意义。基于干扰效益因子的概念,剖析了影响通信干扰任务分配的不确定性因素,建立了基于双层随机机会约束规划的通信干扰任务分配优化模型,设计了遗传蚁群智能算法,实例计算得到了通信干扰任务分配的最佳策略。

Research under the condition of uncertain communication jamming task assignment optimization problem has important military significance. In this paper,based on the concept of jamming efficiency factors,the factors affecting the uncertainty of communication jamming task assignment is analyzed,based on double random chance constrained programming of communication jamming task assignment optimization model,a genetic intelligent ant colony algorithm is designed,the optimal strategy of communication jamming task assignment is obtained by example calculation.