1149 search results - page 5 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
CEC
2010
IEEE
13 years 10 months ago
2010
IEEE
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...