Design Optimization of Belt Transmission by Intelligent Algorithm

As belt transmission can offer a maximum of versatility as power transmission elements and allow the designer considerable flexibility in selecting a location of driver and driven machinery, and can operate smoothly and silently, therefore it is very necessary to use advanced methods to design the belt transmission. Considering the random character of the design parameters and load-bearing capacity, the fuzzy optimization mathematic model is established to minimize the number of belt transmission in conveying 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 gradient-based optimization methods, the intelligent algorithm in hybrid genetic algorithm are developed to solve the usual optimization model, so that the optimization process is simplified and global optimum is acquired reliably.