APPLICATION OF IMPROVED GENETIC ALGORITHM IN INDUSTRIAL SURVEYING DATA PROCESSING
Pan Guorong 1, 2) ; and Gu Chuan 1)
1)Department of Surveying and Geo-Informatics, Tongji University, Shanghai 2000922)Key Laboratory of Modern Engineering Surveying of SBSM, Shanghai 200092
Abstract The two defects of genetic algorithm(GA) is modified from several aspects, and improved by use of MATLAB language. Through an example, the feasibility of applying improved GA into industrial surveying and reverse engineering is discussed. By comparison, it is shown that the new GA has been greatly improved in global convergence and convergent rate.
Key words ：
improvement genetic algorithm
global convergence
convergence rate
industrial surveying
data processing
Received: 01 January 1900
Corresponding Authors:
Pan Guorong
Cite this article:
Pan Guorong,and Gu Chuan . APPLICATION OF IMPROVED GENETIC ALGORITHM IN INDUSTRIAL SURVEYING DATA PROCESSING[J]. , 2008, 28(1): 55-58.
Pan Guorong,and Gu Chuan . APPLICATION OF IMPROVED GENETIC ALGORITHM IN INDUSTRIAL SURVEYING DATA PROCESSING[J]. jgg, 2008, 28(1): 55-58.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2008/V28/I1/55
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