吉林大学学报(工学版)
吉林大學學報(工學版)
길림대학학보(공학판)
JOURNAL OF JILIN UNIVERSITY(ENGINEERING AND TECHNOLOGY EDITION)
2004年
z1期
32-36
,共5页
许宇胜%蒋伟进%杨文通%王蕾
許宇勝%蔣偉進%楊文通%王蕾
허우성%장위진%양문통%왕뢰
遗传算法%梯度算法%形体优化%动态%构架
遺傳算法%梯度算法%形體優化%動態%構架
유전산법%제도산법%형체우화%동태%구가
genetic algorithm%gradient algorithm%shape optimization%dynamics%truss
提出了一种基于遗传算法和梯度算法并考虑动态需求的结构形体优化方法,该方法同时具有遗传算法的全局优化搜索能力和梯度算法的局部优化搜索能力.算例证明该方法具有良好的工程应用价值.
提齣瞭一種基于遺傳算法和梯度算法併攷慮動態需求的結構形體優化方法,該方法同時具有遺傳算法的全跼優化搜索能力和梯度算法的跼部優化搜索能力.算例證明該方法具有良好的工程應用價值.
제출료일충기우유전산법화제도산법병고필동태수구적결구형체우화방법,해방법동시구유유전산법적전국우화수색능력화제도산법적국부우화수색능력.산예증명해방법구유량호적공정응용개치.
Based on genetic algorithm and gradient algorithm, a shape optimization method for truss considering dynamics requirement was proposed. The method possesses the merits of both geneticalgorithm on strong global searching ability and gradient algorithm on strong local searching ability. Numerical example shows that the method proposed in the paper is of good engineering applicability.