Loader transmission multi-parameters optimization design based on the satisfactory degree theory

Author

Chang, Lv

Author_Institution

Fac. of Transp. Eng., HuaiYin Inst. of Technol., Huai´´an, China

fYear

2011

fDate

15-17 July 2011

Firstpage

381

Lastpage

384

Abstract

Aimed at the no-rationality of the single optimization design of the loader transmission, after the analysis of its design requirement, the satisfactory optimization design is developed. The satisfactory degree function in the loader transmission based on the generalized satisfactory degree theory is explored. Multi parameters optimization design of the loader transmission based on the satisfactory degree theory, artificial neural network and genetic algorithm is introduced. It is shown that this method not only can improve the quality of the design, but also can represent the requirement of the designer and user much more. It provides a new approach to the design of the loader transmission.

Keywords

design engineering; genetic algorithms; mechanical engineering computing; neural nets; power transmission (mechanical); artificial neural network; generalized satisfactory degree theory; genetic algorithm; loader transmission multiparameters optimization design; satisfactory optimization design; Biological neural networks; Engines; Gears; Optimization; Torque; Torque converters; Wheels; Artificial neural network; Genetic algorithm; Loader; Optimal design; Satisfactory degree; transmission;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5986939

Filename

5986939