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74
Voted
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 3 months ago
Topological Interpretation of Crossover
Abstract. In this paper we give a representation-independent topological definition of crossover that links it tightly to the notion of fitness landscape. Building around this defi...
Alberto Moraglio, Riccardo Poli
CEC
2007
IEEE
15 years 4 months ago
A simple genetic algorithm for music generation by means of algorithmic information theory
— Recent large scale experiments have shown that the Normalized Information Distance, an algorithmic information measure, is among the best similarity metrics for melody classiï¬...
Manuel Alfonseca, Manuel Cebrián, Alfonso O...
80
Voted
GECCO
2004
Springer
15 years 3 months ago
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm
Genetic algorithms have been successfully applied to many difficult problems but there have been some disappointing results as well. In these cases the choice of the internal repre...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
84
Voted
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
IIS
2004
14 years 11 months ago
Genetic Algorithm as an Attributes Selection Tool for Learning Algorithms
Learning algorithms, as NN or C4.5 require adequate sets of examples. In the paper we present the usability of genetic algorithms for selection significant features. Fitness of ind...
Halina Kwasnicka, Piotr Orski