Paper Title:
Mechanical Optimization with Unknown Mathematical Model Based on Improved Adaptive Genetic Algorithm
  Abstract

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)
Chapter
Thin Films
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, 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
$32.00
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