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

Author

Zheng, Xiaoliang ; Li, Zhongin ; Zhang, Zhengyan ; Li, Taotao ; Chen, Dingfang

Author_Institution

Sch. of Logistics Eng., Wuhan Univ. of Technol., Wuhan, China

Volume

1

fYear

2010

fDate

30-31 May 2010

Firstpage

180

Lastpage

183

Abstract

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.

Keywords

Algorithm design and analysis; Design automation; Design optimization; Engine cylinders; Fasteners; Genetic algorithms; Logistics; Mathematical model; Mechatronics; Optimization methods; genetic algorithm; motion simulation; optimization design; the rocker-slider mechanism for lifting platform;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on

Conference_Location

Wuhan, China

Print_ISBN

978-1-4244-7653-4

Type

conf

DOI

10.1109/ICINDMA.2010.5538054

Filename

5538054