DocumentCode :
3274088
Title :
Effective global searching method based on radial basis function
Author :
Qiang, Zhang ; Ya-bo, Zhang ; Shu, Ma
Author_Institution :
Sch. of Sci., Tianjin Univ. of Technol. & Educ., Tianjin, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
350
Lastpage :
353
Abstract :
A new global searching method based on radial basis function interpolation is presented to solve the global optimization problems of continuous black-box functions. We embed radial basis function interpolation method into the genetic algorithm. Radial Basis function interpolation method can almost approximate any function. Therefore, the hybridized algorithm which can not only simplify optimization problems of the continuous black-box functions but also be expert in global search.
Keywords :
genetic algorithms; interpolation; radial basis function networks; search problems; continuous black-box functions; genetic algorithm; global optimization problems; global searching method; hybridized algorithm; radial basis function interpolation; Approximation algorithms; Biological cells; Genetic algorithms; Interpolation; Optimization; Polynomials; black-box functions; global optimization; radial basis function interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5777301
Filename :
5777301
Link To Document :
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