Fuzzy optimization of plain linkage applying hybrid genetic algorithm

In view of the design sample of crank-rocker linkage, considering the uncertainty of the design variable value and load-bearing capacity, and satisfying the Grashof condition and the transmission performances, the fuzzy optimization mathematic model is established to minimize the deviation between the desired and the calculated path law of motion. 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. The results demonstrate that the fuzzy approach is an effective tool to deal with the uncertainties present in design optimization and can provide more realistic solutions. So that the optimization process is simplified and global optimum is acquired reliably.