摘要
针对兵棋对抗推演中的制权瘫体阶段联合火力打击任务规划问题,研究智能算法应用的可行性。设计了以多智能体协同进化为设计理念的群体智能优化算法,同时针对联合火力打击毁伤特点设计了对抗模拟平台,通过计算机迭代进化输出优化智能体,分析对应的最优任务规划的结构特点。实验分析表明,相比于手工拟制任务规划本算法应用于联合火力打击任务规划,具备全方位的优势,能够有效与兵棋对抗推演结合,可通过任务规划优化辅助指挥员决策,达成人机结合和智能决策的智能算法应用目的。
In view of the war game against deduction right stage collapsed body joint fire mission planning problem as the breakthrough point,the paper studies the feasibility of the intelligent algorithm,has designed with many intelligent evolution is the design idea of swarm intelligence optimization algorithm,at the same time,in view of the characteristics of joint fire damage design confrontation simulation platform,through the computer iterative evolution deduction output optimization agent,and analyzed the structure characteristics of the corresponding optimal mission planning,to prove the effectiveness of the algorithm.The experimental analysis shows that this algorithm has a comprehensive advantage over manual task planning when applied to joint firepower strike task planning,and can effectively combine with military chess confrontation and deduction,and achieve the application purpose of intelligent algorithm for man-machine combination and intelligent decision by optimizing task planning to assist commander decision-making.
作者
田忠良
刘昊
TIAN Zhong-liang;LIU Hao(Unit 31696 of PLA, Jinzhou 121000, China)
出处
《指挥控制与仿真》
2021年第1期40-47,共8页
Command Control & Simulation
关键词
联合火力打击
任务规划
兵棋对抗推演
智能算法
多智能体协同进化
joint fire strikes
task planning
war game against deduction
intelligent algorithm
multiple intelligences evolve together
