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GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
14 years 23 days ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg
IJCSS
2000
86views more  IJCSS 2000»
13 years 9 months ago
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produce...
José Cristóbal Riquelme Santos, Jes&...
CEC
2007
IEEE
14 years 3 months ago
A simple genetic algorithm for music generation by means of algorithmic information theory
ā€” Recent large scale experiments have shown that the Normalized Information Distance, an algorithmic information measure, is among the best similarity metrics for melody classiļ¬...
Manuel Alfonseca, Manuel Cebrián, Alfonso O...
AMC
2007
116views more  AMC 2007»
13 years 9 months ago
Convergence of HLS estimation algorithms for multivariable ARX-like systems
A hierarchical least squares (HLS) algorithm is derived in details for identifying MIMO ARX-like systems based on the hierarchical identiļ¬cation principle. It is shown that the ...
Lingyun Wang, Feng Ding, Peter X. Liu
GECCO
2004
Springer
14 years 2 months ago
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm
Genetic algorithms have been successfully applied to many diļ¬ƒcult 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