Warship Spare Parts Allotment Optimization Method Under Multiple Constraints Based on Improved Particle Swarm Optimization Algorithm
ZHANG Rong
LIU Chenglong
SHAO Hongwei
ZHOU Hongfei
ZHANG Jing
Abstract：In order to make the warship spare parts configuration more reasonable,the optimal configuration model of warship spare parts under multiple constraints is constructed,and an improved particle swarm optimization algorithm based on simulated an-nealing algorithm is proposed.Firstly,an optimization model with the cost,storage space and weight of spare parts as constraints and the maximization of system spare parts guarantee probability as the optimization objective is constructed,and the multiple con-straints optimization model is transformed into an unconstrained optimization model by constructing a penalty function,which reduc-es the requirements for the solution algorithm.Secondly,an improved particle swarm optimization algorithm based on simulated an-nealing algorithm is designed to solve the optimization model.Finally,simulation results show that the proposed method is effective and superior in solving the optimization problem of warship spare parts configuration.
Keywords：warship spare partsmultiple constraintssystem spare parts guarantee probabilitysimulated annealing algo-rithmparticle swarm optimization algorithm
Publication Date：2023-11-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 102-108 )