Title :
Loader transmission multi-parameters optimization design based on the satisfactory degree theory
Author_Institution :
Fac. of Transp. Eng., HuaiYin Inst. of Technol., Huai´´an, China
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5986939
