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The multi-objective optimization design and simulation of rocker-slider mechanism for lifting platform based on genetic algorithm

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5 Author(s)
Xiaoliang Zheng ; Sch. of Logistics Eng., Wuhan Univ. of Technol., Wuhan, China ; Zhongjin Li ; Zhengyan Zhang ; Taotao Li
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This paper introduces the way to optimize the rocker-slider mechanism for lifting platform based on genetic algorithm of excessive objects, aimed at the minimum compression height, the maximum lifting height and the largest cylinder's axial force. And combined with MATLAB's graph management and interface development function, we have produced a motion simulation for the rocker-slider mechanism for lifting platform. The optimization result indicates that this method has overcome the shortcoming of traditional ones, and it has great advantages on the process of solution and intuitional representation.

Published in:
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on  (Volume:1 )

Date of Conference: 30-31 May 2010

Page(s):
180 - 183
Print ISBN:
978-1-4244-7653-4
Conference Location :
Wuhan, China
Digital Object Identifier :
10.1109/ICINDMA.2010.5538054
Product Type:
Conference Publications

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