Development of optimization design software for bevel gear based on integer serial number encoding genetic algorithm

被引:4
作者
Zhang X. [1 ]
Rong Y. [1 ]
Yu J. [1 ]
Zhang L. [1 ]
Cui L. [1 ]
机构
[1] Mechanical and Electrical Engineering College, Hebei Normal University of Science and Technology, Qinhuangdao
关键词
Augmented penalty function; Bevel gear; Genetic algorithm; Integer serial number encoding; Optimization design;
D O I
10.4304/jsw.6.5.915-922
中图分类号
学科分类号
摘要
Bevel gear drive is widely used, quality of which not only affects its own transmission performance, size and weight, but also has some impact on the machine's performance. This paper introduces optimization design software for bevel gear, in which automatic optimization design is realized. In the paper mathematical model, programming of design data and realization of optimization design based on genetic algorithm are described in detail. The paper proposed integer serial number encoding genetic algorithm, which effectively deals with continuous and discrete variable optimization problem and reduces the code length of the string to improve the encoding and decoding efficiency, no invalid solution or duplicate solutions. © 2011 ACADEMY PUBLISHER.
引用
收藏
页码:915 / 922
页数:7
相关论文
共 9 条
  • [1] Qiang Z., The R & D of Gear CAD System Based On Artificial Intelligence, (2003)
  • [2] Shangming L., Guofu Y., Modern mechanical optimization Methods, pp. 231-234, (2005)
  • [3] Xueye A., Jianmei D., 3-Dimensional parametrical modeling method of straight bevel gear, Engineering Graphics Transaction, 6, pp. 22-25, (2007)
  • [4] Changchum B., Yuzhan D., Application of real number encoding genetic algorithm in helical gear drive optimization design, Mechanical Science and Technology, 11, pp. 82-84, (2000)
  • [5] Xiuning C., Mechanical optimization Design, pp. 252-260, (1997)
  • [6] Daxine C., Mechanical Design Handbook. Machine drive, (2004)
  • [7] Xiaolu Z., Gear Drive Design Manual, (2005)
  • [8] Laumanns M., Thiele L., Zitzler E., Welzl E., Deb K., Running time analysis of multi-objective evolutionary algorithms on a simple discrete optimization problem, Parallel Problem Solving from Nature-PPSN, 7, pp. 44-53, (2002)
  • [9] Schwefel H., Evolution and Optimum Seeking, (1995)