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GECCO
2003
Springer
14 years 2 months ago
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Z...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
14 years 21 days ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
CCECE
2006
IEEE
14 years 3 months ago
Absolutely Free Extrinsic Evolution of Passive Low-Pass Filter
Evolutionary electronics is a brunch of Evolvable Hardware, where the Evolutionary Algorithm is applied towards electronic circuits. The success ofevolutionary search most of all ...
Yerbol Sapargaliyev, Tatiana Kalganova
FLAIRS
2004
13 years 10 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...