火力与指挥控制2025，Vol.50Issue(7)：33-41,9.DOI:10.3969/j.issn.1002-0640.2025.07.005
基于改进遗传算法和作战实验的联合火力打击目标选择方法
Target Selection Method for Joint Fire Strike Based on Improved Genetic Algorithm and Operational Experiment
摘要
Abstract
Aiming at the insufficient ability of computer-aided commanders to select joint fire strike targets,a target selection method for joint fire strike based on improved genetic simulated annealing algorithm and automated war gaming is proposed.After establishing the overall operational effectiveness evaluation model based on commander's decision-making intention tendency,initial population with higher quality is generated by using historical war gaming data at first.Then,the corresponding operation plans of population are automatically and rapidly parallelized and deduced,and the fitness of each individual of the whole operational effectiveness is computed according to the deduction results.Finally,the individual selection mechanism,crossover mutation operator,and termination condition of classical genetic algorithm are improved in order to prevent falling into local optimum,to speed up convergence speed,and to enhance the practicability of the method.The results of experiment show that the proposed method has good efficiency and rapidity,and the generated target selection plan has strong consistency with the commander's decision-making intention tendency.关键词
目标选择问题/决策意图倾向/作战效能/遗传算法/兵棋推演Key words
target selection problem/decision-making intention tendency/operational effectiveness/genetic algorithm/war gaming分类
信息技术与安全科学引用本文复制引用
刘经德,李志强,王飞,付琼莹,曹毅..基于改进遗传算法和作战实验的联合火力打击目标选择方法[J].火力与指挥控制,2025,50(7):33-41,9.基金项目
国家社科基金资助项目(2023-SKJJ-B-096,2024-SKJJ-C-071) （2023-SKJJ-B-096,2024-SKJJ-C-071）
