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133
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HAIS
2008
Springer
15 years 4 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
118
Voted
IPPS
2006
IEEE
15 years 9 months ago
Phylospaces: reconstructing evolutionary trees in tuple space
Phylospaces is a novel framework for reconstructing evolutionary trees in tuple space, a distributed shared memory that permits processes to communicate and coordinate with each o...
Marc L. Smith, Tiffani L. Williams
133
Voted
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 9 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
141
Voted
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 9 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
126
Voted
GECCO
2004
Springer
15 years 9 months ago
Three Evolutionary Codings of Rectilinear Steiner Arborescences
A rectilinear Steiner arborescence connects points in the Euclidean plane’s first quadrant and the origin with directed rectilinear edges from the origin up and to the right. Th...
Bryant A. Julstrom, Athos Antoniades