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HAIS
2008
Springer
13 years 8 months ago
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
Leandro M. Almeida, Teresa Bernarda Ludermir
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 8 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
DATE
2005
IEEE
112views Hardware» more  DATE 2005»
14 years 1 months ago
TDMA Time Slot and Turn Optimization with Evolutionary Search Techniques
In this paper we present arithmetic real-coded variation operators tailored for time slot and turn optimization on TDMA-scheduled resources with evolutionary algorithms. Our opera...
Arne Hamann, Rolf Ernst
PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
13 years 11 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 27 days ago
Morphing methods in evolutionary design optimization
Design optimization is a well established application field of evolutionary computation. However, standard recombination operators acting on the genotypic representation of the d...
Michael Nashvili, Markus Olhofer, Bernhard Sendhof...