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Title: Design optimization of three wheeled motor vehicle: A GA approach
Authors: Thakur M.
Deep, K.
Published in: Proceedings of Advances in Intelligent and Soft Computing
Abstract: In this work the problem of finding the optimum design of suspension system for two of the most commonly used Indian commercial three-wheeled motor vehicles namely Bajaj rear engine (RE) and Vikram front engine (FE) vehicle is formulated as an nonlinear optimization problem having decision variables as spring stiffness, viscous damping force of the front and rear suspension, wheelbase and track width. A real coded genetic algorithm (RCGA) has been applied to optimize system parameters to minimize the root mean square acceleration spectral density. The results are compared with Random search technique (RST2). It is observed that the solutions obtained using both algorithms lie within the International Standard Organization (ISO) 2631 values (ISO I [1997]). In all the models RCGA performs significantly better than RST. © 2012 Springer India Pvt. Ltd.
Citation: Proceedings of Advances in Intelligent and Soft Computing, (2012), 677- 688. Roorkee
Issue Date: 2012
Keywords: genetic algorithms
Laplace crossover
Power mutation
three wheeled motor vehicle
Decision variables
Design optimization
International standard organizations
Laplace crossover
Motor vehicle
Non-linear optimization problems
Optimum designs
Power mutation
Random searches
Real coded genetic algorithm
Rear suspension
Root Mean Square
Spring stiffness
Suspension system
Track width
Viscous damping
Commercial vehicles
Genetic algorithms
Problem solving
Soft computing
Spectral density
Suspensions (components)
ISBN: 9.79E+12
ISSN: 18675662
Author Scopus IDs: 36017796100
Author Affiliations: Thakur, M., School of Basic Sciences, Indian Institute of Technology, Mandi, Mandi 175001, India
Deep, K., Department of Mathematics, Indian Institute of Technology, Roorkee, Roorkee 247667, India
Corresponding Author: Thakur, M.; School of Basic Sciences, Indian Institute of Technology, Mandi, Mandi 175001, India; email:
Appears in Collections:Conference Publications [MA]

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