Optimal Design Of Rolling Shear Mechanism Based On Improved Genetic Algorithms

摘要：

An improved genetic algorithm on the basis of Gray encoding is presented, which is improved based on optimum maintenance of simple genetic algorithm and performs selected operator combination with fitness proportional model. The algorithm ensures the convergence property of genetic algorithm, and prevents premature phenomenon in some extent. In this paper, it is an example of the rolling shear mechanism optimal design, the minimum error of the actual trajectory and the ideal trajectory of the rolling shear is objective function. The bar length of the rolling shear mechanism is obtained by using simple genetic algorithm and improved genetic algorithm separately. The effectiveness of improved genetic algorithm has been proved through the result of examples.

关键词： genetic algorithm rolling shear optimization design

作者: WU Li-mei Ren jing YIN Tu-bang

作者单位: Shenyang Aerospace University Shenyang 110136, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 68-71

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）