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JIFS
2002
107views more  JIFS 2002»
13 years 7 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...
AE
2007
Springer
14 years 1 months ago
On the Design of Adaptive Control Strategies for Evolutionary Algorithms
This paper focuses on the design of control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. ...
Jorge Maturana, Frédéric Saubion
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
14 years 26 days ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
TIP
1998
135views more  TIP 1998»
13 years 7 months ago
Adaptive weighted highpass filters using multiscale analysis
In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a w...
Robert D. Nowak, Richard G. Baraniuk
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan