Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion
✍ Scribed by Lu Sun; Ximing Cai; Jun Yang
- Book ID
- 104032651
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 328 KB
- Volume
- 301
- Category
- Article
- ISSN
- 0022-460X
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✦ Synopsis
In this paper, the design of a passive vehicle suspension system was handled in the framework of nonlinear optimization. The variance of the dynamic load resulting from the vibrating vehicle operating at a constant speed was used as the performance measure of a suspension system. Using a quarter-car model, the performance measure was derived as an integration of a complex function of several variables. A genetic algorithm is applied to solve the nonlinear optimization problem. It was found from the sensitivity analysis that appropriate mutation rate, crossover rate and population size are 1.0%, 25% and 100, respectively. The optimum design parameters of the suspension systems obtained are k s