Development of Optimization Design Software for Bevel Gear Based on Integer Serial Number Encoding Genetic Algorithm

نویسندگان

  • Xiaoqin Zhang
  • Yu Rong
  • Jingjing Yu
  • Liling Zhang
  • Lina Cui
چکیده

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.

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عنوان ژورنال:
  • JSW

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2011