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

✍ Scribed by A.E. Baumal; J.J. McPhee; P.H. Calamai


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
694 KB
Volume
163
Category
Article
ISSN
0045-7825

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✦ Synopsis


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 gradienl projecrion method.


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