基于遗传算法的汽车碰撞安全优化设计

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中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2025）07-0161-03

Optimal Designof AutomobileCollision SafetyBased onGeneticAlgorithi

YanYanjun，Zhang Yuyu （Shanxi Institute of Mechanical & Electrical Engineering，Changzhi O46O11，China）

【Abstract】With the continuous growth ofcar ownership，theproblem of occupant safetyprotection intrafic accidentshasatracted much atention.The traditionalcollsionsafety design ismainly through single-objective optimization，anditisdifculttoeffectivelycoordinatetheconflictbetweensafety，lightweightandcost.Genetic algorithmprovidesanew ideaformulti-objectivecolaborativeoptimization becauseof itsglobal searchabilityand paralel computing characteristics.Therefore，thispaper discusses thesafetydesign of automobilecolision，aimingat buildingamulti-objectiveoptimization modelbasedongeneticalgorithm，providinganewmethod forautomobile safety design withboth effciencyand accuracy，and promoting thecoordinateddevelopmentof itssafetyperformance and economic benefits.

【Key words】 genetic algorithm；automobile colision safety；multi-objective optimization；lightweight design

据统计，全球每年因交通事故造成的死亡人数超过130万，其中侧面碰撞与正面碰撞事故的占比很高，为降低事故伤亡率，中国新车评价规程C-NCAP在2021版中新增了柱碰测试场景。（剩余3273字）