Optimization Study on Weapon-Target Assignment in Problem Based on Intuitionistic Fuzzy Marine Predator Algorithm
Qiwen Wang, Song Gui-bao · 2023
Marine predator algorithm (MPA) is a nature-inspired metaheuristic proposed by simulating the moving strategies of marine predators and preys. To improve the solving speed and precision of weapon target assignment problems, a novel MPA solving strategy is proposed combining the theories of intuitionistic fuzzy sets (IFSs). Firstly, a WTA optimization model is established under constrained ammunition resources aiming at minimum ammunition consumption and maximum interception rate. Secondly, an intuitionistic fuzzy charisma function is introduced to optimize the ratio between global searching and local searching. Finally, a numerical example is utilized to verify the rationality of the method and the result is further compared with particle swarm optimization, whale optimization algorithm and original MPA for superiority verification. The intuitionistic fuzzy MPA is proved to have higher convergence speed, stronger global searching power and is also more stable and could be of great use in future wars.