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GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 3 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
103
Voted
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 3 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
GECCO
2005
Springer
193views Optimization» more  GECCO 2005»
15 years 3 months ago
On the contribution of gene libraries to artificial immune systems
Gene libraries have been added to Artificial Immune Systems in analogy to biological immune systems, but to date no careful study of their effect has been made. This work investig...
Peter Spellward, Tim Kovacs