The improved genetic algorithms for digital image correlation method

We present a global optimization method, called the genetic algorithms (GAs), for digital image/speckle correlation (DISC). The new algorithms do not involve reasonable initial guess of displacement and deformation gradient and the calculation of second-order spatial derivatives of the digital images, which are important challenges in practical implementation of DISC. The performance of a GA depends largely on the selection of the genetic operators. We test various operators and propose optimal operators. The algorithms are then verified using simulated images and experimental speckle images.

作 者： 唐晨 劉銘 閆海青 張桂敏 陳湛青   作者單位： 唐晨,劉銘,閆海青,張桂敏(Department of Applied Physics, University of Tianjin, Tianjin 300072)

陳湛青(Department of Mechanical Engineering and Automation, Harbin Institute of Technology, Harbin 150001) 

刊 名： 中國(guó)光學(xué)快報(bào)(英文版)  ISTIC EI 英文刊名： CHINESE OPTICS LETTERS  年，卷(期)： 2004 2(10)  分類號(hào)：   關(guān)鍵詞：  

【The improved genetic algorithms for 】相關(guān)文章：

Generalized Self-Adaptive Genetic Algorithms04-30

Generalized Self-Adaptive Genetic Algorithms04-30

Improved NSGA-Ⅱ Multi-objective Genetic Algorithm Based on Hybridization-encouraged Mechanism04-28

Improved Preparation of Tyramine by Curtius Rearrangement04-28

MULTIOBJECT OPTIMIZATION OF A CENTRIFUGAL IMPELLER USING EVOLUTIONARY ALGORITHMS04-29

Underground water quality model inversion of genetic algorithm04-28

Genetic algorithm in DNA computing:A solution to the maximal clique problem04-30

Two algorithms of working acceleration generated by a precision centrifuge with two rotating axes04-27

Genetic Analysis on Plant Type of Northern Japonica Hybrid Rice04-30

Genetic divergence among geographical populations of the migratory locust in China04-29