DocumentCode :
383292
Title :
Adaptive multiresolution and wavelet-based search methods
Author :
Thuillard, Marc
Author_Institution :
BELIMO Autom. AG, Hinwil, Switzerland
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
110
Abstract :
New adaptive search methods based on multiresolution analysis and wavelet theory are introduced and discussed within the framework of Markov theory. These stochastic search methods are suited to problems for which good solutions tend to cluster within the search space. Multiresolution search methods are extended to searches with memory. The introduction of a memory allows an easy inclusion of local information available prior to the search and the storage of a low resolution approximation of the fitness function. Further, by using B-splines, a linguistic, fuzzy interpretation of the search results can be given. The relation between wavelet-based search methods and wavelet estimation theory is explained.
Keywords :
Markov processes; fuzzy logic; splines (mathematics); wavelet transforms; B-splines; Markov theory; adaptive multiresolution; fitness function; fuzzy interpretation; fuzzy logic; stochastic search methods; wavelet estimation theory; wavelet theory; wavelet-based search methods; Clustering algorithms; Estimation theory; Fuzzy logic; Humans; Multiresolution analysis; Search methods; Spline; Stochastic processes; Testing; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2002. Proceedings. 2002 First International IEEE Symposium
Print_ISBN :
0-7803-7134-8
Type :
conf
DOI :
10.1109/IS.2002.1044237
Filename :
1044237
Link To Document :
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