Particle Swarm Optimization for the firing task problem of missiles on ships
Keywords:
Firing task problem, Multi-objective problem, Optimization, Particle Swarm Optimization, PSO, MissileAbstract
The problem of firing missions that satisfy both technical and tactical requirements will significantly contribute to the missile attack's effectiveness. Increasing the automation level of this problem-solving process is also of great significance, i.e., reducing operating time and saving ammunition. In this paper, an optimal algorithm for the task of firing missiles on ships is introduced. The proposed multi-objective problem is a combination of mathematical functions corresponding to individual tasks, in which there may exist. Particle Swarm Optimization (PSO) algorithm is then selected for the solving process. The results show that the proposed problem and optimized algorithm can reduce computation time, save and use missiles with the correct characteristics while ensuring the firing task's probability.
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