| Message: | A multi-objective optimization model of Khv cycloid gear planetary reducer is presented in this paper. The optimum model is established by considering the objective function of the reducer volume, the force of the rotating arm bearing and the maximum bending stress of the pin. The optimization aims to reduce these objectives and obtain a set of PARETO efficiency solutions. In order to improve the extension of Vilfredo Pareto Front, the density estimation metric (crowding distance) of non-dominated sorting genetic Algorithm II is replaced by K nearest neighbor distance. Then, the improved algorithm is used to solve the optimal model. The results show that the improved algorithm can obtain better PARETO efficiency solution than the conventional design. url:http://www.keganbearings.com |
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