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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
An Algorithm for Rn Constrained Global Optimization Based on Filled Function Method
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
x 
 
Weixiang Wang, Youlin Shang, "An Algorithm for <i>R<sup>n</sup></i> Constrained Global Optimization Based on Filled Function Method," International Workshop on Knowledge Discovery and Data Mining, pp. 654-657, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.123,
author = {Weixiang Wang and Youlin Shang},
title = {An Algorithm for <i>R<sup>n</sup></i> Constrained Global Optimization Based on Filled Function Method},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {654-657},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.123},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - An Algorithm for <i>R<sup>n</sup></i> Constrained Global Optimization Based on Filled Function Method
SN - 0-7695-3090-7
SP654
EP657
A1 - Weixiang Wang,
A1 - Youlin Shang,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
Many aspects in the study of the development and the use of advanced information technologies and systems involves constrained global optimization. In this paper, a filled function with one parameter is proposed for escaping the current local minimizer. Then a new algorithm for obtaining a global optimizer is presented. Using this method, a global minimizer can be obtained just by searching for local optimizers of the original problem and some certain unconstrained optimization problems. The numerical results show the efficiency of this method.
Citation:
Weixiang Wang, Youlin Shang, "An Algorithm for Rn Constrained Global Optimization Based on Filled Function Method," wkdd, pp.654-657, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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