This paper studies the multi-objective optimization configuration of special equipment materials on warships during the mission at sea. Considering the configuration characteristics of special equipment materials on warships, we establish a multiobjective and multi-constraint model with the fill rate and utilization rate as the optimization target, and volume, mass, and cost as the constraints. The multi-objective Particle Swarm Optimization (PSO) algorithm is designed and improved, guaranteeing diversity of particles at the global scope and avoiding excessively fast convergence, to obtain globally optimal solution. We further compare the calculation results between the improved algorithm and standard algorithm, analyzing the optimal configuration under different weight ratio and tendencies under different constraints. The results demonstrate the stability of the improved algorithm and practicability of the multi-objective model.

special equipment materials  /  optimization configuration  /  fill rate  /  multi-objective optimization