Title :
Multi-objective optimization design of multi-piece leaf springs based on Pareto
Author :
Wu Yong-hai ; Fan Qin-man
Author_Institution :
Fac. of Traffic Eng., Huaiyin Inst. of Technol., Huaiyin, China
Abstract :
In allusion to the multi-piece leaf springs of a truck, its standard multi-objective optimization model was established. Taking multidisciplinary optimization software iSIGHT as a platform, using the non-dominated Sorting Genetic Algorithm (NSGA-II) based on Pareto optimal concepts, seek for the optimal structural design scheme for multi-piece leaf springs of the minimum total quality and minimum relative stiffness is found, and the Pareto Optimal Solution set is obtained. The analysis method in the paper can effectively solve the problems of multi-parameter and multi-objective optimization for complex structures.
Keywords :
Pareto optimisation; automotive components; design engineering; genetic algorithms; springs (mechanical); NSGA-II; Pareto optimal solution; iSIGHT software; multiobjective optimization design; multipiece leaf springs; nondominated sorting genetic algorithm; truck; Evolutionary computation; Genetic algorithms; Pareto optimization; Sorting; Springs; Stress; NSGA-II; Pareto optimal; leaf springs; multi-objective optimization;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028675
