Fuzzy Optimization on Automobile Final Drive in Hybrid Genetic Algorithm and Neural Network

The structure and size of final drive can affect greatly the dynamic and economic of Automobile, therefore it is very important to adopt optimization methods to design the automobile final drive. Considering the random character of the design parameters and load-bearing capacity, the fuzzy optimization mathematic model is established to minimize the sum of volume of pitch circle cylinder of gearsets in automobile final drive. The method of second-class comprehensive evaluation was used by the optimal level cut set, thus the fuzzy optimization is transformed into the usual optimization. Considering the problem of low efficiency and local optimum caused by traditional optimal methods, the hybrid Genetic Algorithm are adopted to solve the optimization model, and neural network method is applied to fit coefficient So that the optimization process is simplified and global optimum is acquired reliably.