Fire Allocation of Formation Against Sea Based on NSGA-III Algorithm Modeling and Optimization

The allocation of sea strike tasks plays a crucial role in formulating an effective firepower utilization plan. Considering both the enemy and our own situational factors, it becomes imperative to conduct a comprehensive analysis involving various elements such as the enemy’s threat level, the significance of potential targets, and minimizing missile consumption. This allocation conundrum represents a typical multi-target optimization challenge. Traditional approaches to sea strike task allocation have been primarily tailored to scenarios where the enemy is situated far from our forces. These methods typically focus on maximizing the combat value of the target ship as the primary constraint and rely on exhaustive search or local search algorithms. Unfortunately, these conventional optimization techniques are time-consuming and require substantial communication costs. As such, they are less efficient in addressing such complex problems. To address the sea strike mission allocation quandary, especially in the context of close anti-ship combat missions, this research establishes a multi-constraint firepower distribution model. By transforming the constraints into optimization objectives, the study proposes a solution based on an improved non-dominated ranking genetic algorithm. The experimental results demonstrate that this proposed method significantly reduces the time required to obtain the global optimal solution.