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» Evolutionary Algorithms for the Satisfiability Problem
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BMEI
2008
IEEE
15 years 10 months ago
Using Phylogenetic Relationships to Improve the Inference of Transcriptional Regulatory Networks
Inferring transcriptional regulatory networks from geneexpression data remains a challenging problem, in part because of the noisy nature of the data and the lack of strong networ...
Xiuwei Zhang, Maryam Zaheri, Bernard M. E. Moret
112
Voted
AIIA
2007
Springer
15 years 10 months ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
120
Voted
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 10 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
124
Voted
AHS
2006
IEEE
138views Hardware» more  AHS 2006»
15 years 10 months ago
Generalized Disjunction Decomposition for the Evolution of Programmable Logic Array Structures
Evolvable hardware refers to a self reconfigurable electronic circuit, where the circuit configuration is under the control of an evolutionary algorithm. Evolvable hardware has sh...
Emanuele Stomeo, Tatiana Kalganova, Cyrille Lamber...
172
Voted
SOFTCO
2004
Springer
15 years 9 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira