基于遗传算法的多波次攻击下舰船弹性优化

Optimized Ship Resilience Under Multi-wave Attack Based on Genetic Algorithm

由于海上战场环境复杂,攻击形式多样,在舰船系统受到敌方攻击后,单一固定的维修策略无法时刻应对来自敌方变化多样的攻击方式。文章针对海上作战坏境,模拟出敌方多波次攻击链以及己方舰船防御系统,使舰船装备节点根据不同的作战环境拥有不同的战时重要度,结合爆炸毁伤模型和拦截对抗模型,将多约束条件下的受损节点修复顺序问题抽象为多旅行商路径规划问题,提出了结合自适应遗传算法和装备节点战时重要度的攻击防御恢复策略(Attack Defense Recovery Strategy,ADRS)。实验仿真了在相同约束条件和多波次敌方攻击场景下采用不同恢复策略的系统对抗与弹性恢复,结果表明基于ADRS的舰船系统可以有效地在多波次攻击下减小系统损伤,提高了系统整体鲁棒性,并且在相对更严峻的战场下大幅提高了系统弹性。

Due to the complexity of the battlefield environment at sea and the diversity of attack forms,a single maintenance strategy cannot cope with the varied attack modes of the enemy at all times after the ship system is attacked by the enemy.Aiming at the marine combat environment,this paper simulates the enemy's multi-wave attack chain and its own ship defense system,so that the ship equipment node has different wartime importance according to different combat environment,combined with the explosion and damage model and interception and confrontation model.The repair sequence of damaged nodes under multiple constraints is abstracted to the path planning problem of multiple travel agents,and an attack defense recovery strategy is proposed combining adaptive genetic algorithm and wartime importance of equipment nodes.The experiment simulation under the same constraints and multi-wave enemy attack scenarios with different recovery strategy system against and resilience recovery.The results show that ships based on attack defense strategy can effectively reduce system damage and improves the system robustness under the waves of attacks,and greatly increases under relatively system resilience under severer battle situation.