Study on evolutionary self-adaptation model-building

被引：0

作者：

Li, XO ^{[1
]}

Feng, HQ ^{[1
]}

机构：

[1] Univ Sci & Technol China, Inst Biomed Engn, Hefei 230026, Peoples R China

来源：

2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年

关键词：

genetic programming; ATCBP; constrained self-adaptation fitness; model-building;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To overcome the difficulties and drawbacks in building the mathematics model by using the traditional methods, Genetic Programming (GP) is introduced in this paper, and the model is got 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.

引用

页码：561 / 565

页数：5