基于遺傳算法的汽車碰撞安全優(yōu)化設(shè)計(jì)

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中圖分類號：U463.6 文獻(xiàn)標(biāo)識碼：A 文章編號：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

據(jù)統(tǒng)計(jì)，全球每年因交通事故造成的死亡人數(shù)超過130萬，其中側(cè)面碰撞與正面碰撞事故的占比很高，為降低事故傷亡率，中國新車評價規(guī)程C-NCAP在2021版中新增了柱碰測試場景。（剩余3273字）