Multi-objective Optimization under Electromagnetic Launch System

With the continuous progress of electromagnetic launch technology, it has now entered the engineering application stage. The launch overload, efficiency, volume and weight of the electromagnetic launch system will affect the engineering application of the whole launch system. This paper starts from the efficiency and carries out the research of multi-parameter optimal design. Adopting the Nondominated Sorting Genetic Algorithm II (NSGA-II), multiple variable factors affecting the electromagnetic rail launch system are taken as the parameters of the algorithm for multi-objective optimization, so as to achieve the maximization of the armature muzzle velocity and launch efficiency of the Electromagnetic Launch system. The establishment of an accurate model verifies that the algorithm has good accuracy and can further improve the efficiency.