基于SA-PSO混合算法的枪弹全弹道多目标优化方法研究

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中图分类号：TJ411 文献标志码：A DOI：10.3969/j.issn.1673-3819.2025.04.022

引用格式：，，，等.基于SA-PSO混合算法的枪弹全弹道多目标优化方法研究[J].指挥控制与仿真，2025，47（4）：149-155.HUZC，CUX，XUX，etal.Researchonmulti-bjectiveoptimizationmetodforbuletfulltrajectorybasedoA-SOhybrid algorithm[J].Command Control & Simulation，2025，47（4） ：149-155.

Abstract：Intheprocessofbuletdesign，theparametersoftheinteriortrajectoryexteriortrajectory，anderminaltrajecto ryareiterdependent，necessitatingacomprehensiveconsiderationoftheentiretrajectoryprocess.Tadressbothoveal performanceand design eficiency，amulti-objectiveoptimization method basedon simulatedannealingand particle swarm optimizationisproposed.Acomprehensiveballsticcalculationmodel isestablished，incorporatingwarheadcharacteristics， interaltrajectory，aerodynamicparameters，external trajectory，andterminal trajectory.Twelvestructuralparametersreselectedasoptimizationvariables.Theoptimizationobjectivesaresetastraveldistance，landing kineticenergy，and penetration thickness，facilitatingcomprehensive trajectoryoptimization.Theweightedsummation methodisemployedtoascertaintheoptimalsolution，withthesimulatedannealing-particleswarmoptimization（SA-PSO）utilizedtoaddresstheoptimizationchallenge.Theresultsdemonstratethatthisapproachconverges totheoptimalsolutionmoreeficientlycomparedto traditionalalgorithms.Compared to the original design，the optimized solution increases landing kinetic energy by 109.97% ，enhances penetration thickness by 75.11% ，and the travel distance is shortened by 30.01% . The proposed method significantly improvesoverallballstic performance.Moreover，thismethod circumvents thedecline inotherobjectives thatcommonlyarises during the optimization ofa single target.

Key words：fulltrajectorydesign；multi-objectiveoptimization；simulatedannealing；particleswarm；hybridalgorithm

在传统的枪弹系统设计过程中，内弹道、外弹道以及终点弹道的设计过程通常相对独立。（剩余9965字）