Coordination Optimization of Air-Sea Confrontation Force Based on Enhanced MDPLO

With the development of air-sea countermeasures, it is of great practical interest to coordinate the air-sea force to improve the strike efficiency. However, this problem faces the difficulty of large scale of confrontation equipment and quick response to the threat. We consider this important problem and make the following contributions. Firstly, a hypernetwork-based confrontation force optimization model is proposed to enhance global connectivity by deconstructing confrontation elements. Furthermore, a multi-directional spatio-temporal coordination factor is introduced to optimize the attack path and engagement timing. Secondly, an improved Polar Light Optimizer (PLO) algorithm is proposed to obtain the best coordination strategy for the air-sea confrontation forces. A biased search mechanism with global-local dynamic balance is introduced to improve the computation efficiency. Finally, numerical results demonstrate that the strike efficiency, resource utilization and the confrontation reliability of the proposed method can be improved compared with Non-dominated Sorting Genetic Algorithm II (NSGA-II).