Application of genetic algorithms to the design optimization of an active vehicle suspension system

被引：108

作者：

Baumal, AE ^{[1
]}

McPhee, JJ ^{[1
]}

Calamai, PH ^{[1
]}

机构：

[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada

来源：

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 1998年 / 163卷 / 1-4期

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

10.1016/S0045-7825(98)00004-8

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The use of numerical optimization methods to partially automate the design process is demonstrated. Genetic algorithm (GA) optimization, a global search technique, is used to determine both the active control and passive mechanical parameters of a vehicle suspension system. The objective is to minimize the extreme acceleration of the passenger's seat, subject to constraints representing the required road-holding ability and suspension working space. GA optimization is also used for passive suspension design to compare results from the literature based on a local optimization search technique: a gradient projection method. (C) 1998 Elsevier Science S.A. All rights reserved.

引用

页码：87 / 94

页数：8

共 18 条

[1]

[Anonymous], 1986, NUMERICAL RECIPES C

[2] GLOBAL OPTIMIZATION METHODS FOR ENGINEERING APPLICATIONS - A REVIEW [J].