Optimization of Suspension System using Particle Swarm Optimisation and Genetic Algorithm
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Abstract
Advancements in science and technology have made the vehicle driving stability and ride comfort being the hot topic of current research. This paper details the combination of the particle swarm optimization algorithm and genetic algorithm, to optimize the multi-link suspension system. The hybrid algorithm was implemented using MATLAB. Simulation experiment on the dynamic vehicle model of the vehicle suspension system is optimized. Results show that the vehicle ride comfort has been greatly improved.
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