Optimized ship resilience under multi-wave attack based on genetic algorithm

Due to the complexity of the battlefield environment at sea and the diversity of attack forms, a single fixed maintenance strategy cannot cope with the varied attack modes of the enemy at all times after the ship system is attacked. Aiming at the marine battle environment, this paper simulates the multi-wave attack chain and ship defence system, so that the ship equipment node has different wartime importance according to different combat environment, combined with the explosion and damage model, interception and confrontation model. The repair sequence of damaged nodes under multiple constraints was abstracted to the path planning problem similar to MSTP, and an Attack Defence Recovery Strategy (ADRS) was proposed by combining adaptive genetic algorithm with the wartime importance of equipment nodes. Experiments simulation has been taken under the same constraints and multi-wave enemy attack with different recovery strategy system of confrontation and resilience recovery. The results show the system resilience recovery based on ADRS is effective under the waves of attacks, reduces system damage, improves the system robustness, and especially greatly increases under relatively severer damage.