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Second International Conference on Semantics, Knowledge, and Grid (SKG'06)
Identify Discontinuous Parameter of Parabolic System via Point-Tree Structured Genetic Programming
Guilin, Guangxi, China
November 01-November 03
ISBN: 0-7695-2673-X
ASCII Text
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Weiwu Wang, Yuanxiang Li, Shengwu Xiong, Bojin Zheng, "Identify Discontinuous Parameter of Parabolic System via Point-Tree Structured Genetic Programming," Semantics, Knowledge and Grid, International Conference on, pp. 43, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006.
 
 
BibTex
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@article{ 10.1109/SKG.2006.55,
author = {Weiwu Wang and Yuanxiang Li and Shengwu Xiong and Bojin Zheng},
title = {Identify Discontinuous Parameter of Parabolic System via Point-Tree Structured Genetic Programming},
journal ={Semantics, Knowledge and Grid, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2673-X},
pages = {43},
doi = {http://doi.ieeecomputersociety.org/10.1109/SKG.2006.55},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Semantics, Knowledge and Grid, International Conference on
TI - Identify Discontinuous Parameter of Parabolic System via Point-Tree Structured Genetic Programming
SN - 0-7695-2673-X
SP
EP
A1 - Weiwu Wang,
A1 - Yuanxiang Li,
A1 - Shengwu Xiong,
A1 - Bojin Zheng,
PY - 2006
KW - null
VL - 0
JA - Semantics, Knowledge and Grid, International Conference on
ER -
 
Weiwu Wang, Wuhan University, China
Yuanxiang Li, Wuhan University, China
Shengwu Xiong, Wuhan University of Technology, China
Bojin Zheng, South-Central University For Nationalities, China
In this paper, we apply point-tree structured genetic programming (PTGP) to identify a discontinuous parameter of parabolic system. The discontinuous parameter can be decomposed into several subcomponents. Each subcomponent can be represented as a simple function. We call these simple functions as sub-functions. We use the PTGP individual to represent the discontinuous parameter, and evolve these individuals to learn it. During the evolution, the subfunctions and their domains co-evolve and co-adapt automatically. The numerical experiments show PTGP can identify the discontinuous parameter successfully. Compare to the stand genetic programming approach, the performance is improved signigicantly.
Citation:
Weiwu Wang, Yuanxiang Li, Shengwu Xiong, Bojin Zheng, "Identify Discontinuous Parameter of Parabolic System via Point-Tree Structured Genetic Programming," skg, pp.43, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006
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