Multiobjective optimization of gear transmission appliedin pushing mechanism based on genetic algorithm
                                                           QIAN Yaping1, ZHANG Yu2, GU Jinan2
(1.School of Mechanical Engineering,Jiangsu University of Technology, Changzhou 213001, China;2.Research center of information technology in manufacturing,Jiangsu University, Zhenjiang 212013, China)


Abstract: Aiming at the problem of which pushing mechanism institution applied in a sort of production line requires high stability and small volume, the multiobjective optimization design based on genetic algorithm of its driving mechanism was done, in which, the gears’ volume and contact ratio were chosen as the optimization goal. Several aspects including hybrid coding method, elite selection strategy, adaptive function, the effect of the punishment factor and weighted coefficient on the results of optimization and so on were analyzed. And then a optimization method for mechanism’s dimensional parameters adopting improved genetic algorithm was mentioned. The comparative analysis between fmincon function and the improved genetic algorithm was carried out, in case of singleobjective and multiobjective optimization. The results indicate that the optimization adopting improved genetic algorithm is better than the one adopting fmincon function, and the gear contact ratio based on multiobjective optimization is increased by 3.03% compare with singleobjective, the stationarity of pusher drive system is improved effectively. This result provides theory reference for multiobjective optimization of gear transmission system.
Key words: gear transmission; multiobjective optimization; genetic algorithm; penalty function