Affiliation:
1. Huaiyin Institute of Technology
Abstract
In this paper the Six-speed transmission with belt overdrive gear of one automobile transmission system will be taken as research object, automobile energy utilization ratio and standing start continuous shift acceleration time will be regarded as objective function, the multi-objective optimization model of automobile transmission system will be established. The improved congestion degree calculation and choose operation method will be put forward according to the problem that poor population diversity when NSGA-II algorithm was used in the transmission optimization, the improved NSGA-II algorithm will be used to implement multi-objective optimization design on the automobile transmission system. Optimization results show that Pareto optimal solutions obtained from the improved algorithm are more evenly distributed and algorithms are more efficient. The improved NSGA-II algorithm used in this paper is also suitable for other areas of computing multi-objective optimization problem.
Publisher
Trans Tech Publications, Ltd.
Reference2 articles.
1. Zhou Ming, Sun Shu-dong, The principle and application of genetic Algorithm, Beijing: National Defence Industry Press, (2004).
2. Srinivas N., Deb K., Multiobjective function optimization using non-dominated sorting genetic algorithm, Evolutionary Computation, 1995, 2(3), pp.221-248.
Cited by
1 articles.
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