Application of Multi-objective Particle Swarm Optimization in Automobile Transmission Design

摘要：

Multi-objective particle swarm optimization is the i 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.

关键词： transmission multi-objective optimization particle swarm optimization

作者: Wu Yong-hai Fan Qin-man Wang Feng

作者单位: Faculty of Traffic Engineering Huaiyin Institute of Technology Huaian, China

会议类型: 国际会议

会议名称: Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

会议地点: 无锡

会议语种:英文

页码: 215-218

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）