Title :
Application of Multi-objective Particle Swarm Optimization in Automobile Transmission Design
Author :
Yong-hai, Wu ; Qin-Man, Fan ; Feng, Wang
Author_Institution :
Fac. of Traffic Eng., Huaiyin Inst. of Technol., Huai´´an, China
Abstract :
Multi-objective particle swarm optimization is the research hot spot of the intelligent computing field at present, which has a more efficient information sharing mechanism than the genetic algorithm (GA) and artificial immune algorithm (AIA). In allusion to a certain kind of new freight car, the multi-objective optimization design of the transmission is carried out by using multi-objective particle swarm optimization. The multi-objective optimization model of the transmission is established. Seeking for the optimal structure design of transmission under the target of the minimum volume and the minimum centre distance with Matlab platform, the optimal solutions for Pareto theory are obtained. The optimization method is of certain reference significance to design the other complex systems.
Keywords :
Pareto optimisation; automotive engineering; design; particle swarm optimisation; Pareto theory; artificial immune algorithm; automobile transmission design; genetic algorithm; information sharing mechanism; intelligent computing field; multiobjective particle swarm optimization; Algorithm design and analysis; Automobiles; Automotive engineering; Computer applications; Constraint optimization; Design optimization; Genetic algorithms; Mathematical model; Pareto optimization; Particle swarm optimization; multi-objective optimization; particle swarm optimization; transmission;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.61
