Mechanical Optimization with Unknown Mathematical Model Based on Improved Adaptive Genetic Algorithm

Abstract:

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Adaptive genetic algorithm (AGA) is wildly used nowadays for its features such as global searching, fast convergence speed and so on. But it will be difficult to build its fitness function or constraint equation some times. On the contrast, ADAMS is a dynamic analysis software based on the theory Computational Dynamics of Multibody Systems, it is good at physical model analysis. In order to make full use of both advantages, this paper is aim at combination of AGA with ADAMS. What is more, some improved methods are used in AGA. The optimal design of car hood mechanism shows that the use of improved adaptive genetic algorithm (IAGA) based on ADAMS is feasible. Form the result of simulation; it is easy to see that IAGA have better optimal precision and fast convergence speed compared with AGA.

Info:

Periodical:

Advanced Materials Research (Volumes 287-290)

Edited by:

Jinglong Bu, Pengcheng Wang, Liqun Ai, Xiaoming Sang, Yungang Li

Pages:

2252-2255

DOI:

10.4028/www.scientific.net/AMR.287-290.2252

Citation:

Z. B. Li and S. D. Xiao, "Mechanical Optimization with Unknown Mathematical Model Based on Improved Adaptive Genetic Algorithm", Advanced Materials Research, Vols. 287-290, pp. 2252-2255, 2011

Online since:

July 2011

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Price:

$35.00

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