DocumentCode
389233
Title
Study on evolutionary self-adaptation model-building
Author
Li, Xiao-ou ; Feng, Huan-Qing
Author_Institution
Inst. of Biomed. Eng., Univ. of Sci. & Technol. of China, Hefei, China
Volume
2
fYear
2002
fDate
2002
Firstpage
561
Abstract
To overcome the difficulties and drawbacks in building the mathematics model by using the traditional methods, the genetic programming is introduced in this paper, and the model is obtained automatically. This paper presents the improved methods for the generation of the initial population and the way of the fitness measure so as to accelerate the optimization rate and convergence performance of the algorithm. The computational experiments indicate that the reformative algorithm improves the optimization efficiency and the precision of mode.
Keywords
convergence of numerical methods; genetic algorithms; modelling; probability; average tree creation; constrained self-adaptation fitness; convergence; genetic programming; model-building; optimization; probability; Acceleration; Biomedical engineering; Biomedical measurements; Data analysis; Electronic mail; Genetic programming; Mathematical model; Mathematics; Optimization methods; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1174378
Filename
1174378
Link To Document