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The quality of suspension helical spring is very important to the stationarity and safety of automobile. Taking the automobile suspension helical spring as the research object, by using Pareto optimization theory and particle swarm optimization algorithm, the paper establishes a multi-objective optimization model of automobile suspension helical spring which is based on the Matlab optimization design...
Multi-objective particle swarm optimization is the research hot spot of the intelligent computing field at present, which has a more efficient information sharing mechanism than the genetic algorithm (GA) and artificial immune algorithm (AIA). In allusion to a certain kind of new freight car, the multi-objective optimization design of the transmission is carried out by using multi-objective particle...
Taking a special vehicle frame as the study object, in allusion to the complex time-consuming FEA computation in the optimization design, the numerical approximation technology of Kriging method is adopted to establish the approximate mapping relationship between design variables of vehicle frame and structural strength, stiffness and weight. The genetic algorithm is employed to perform the optimization...
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