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» A hybrid approach to parameter tuning in genetic algorithms
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102
Voted
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 3 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
75
Voted
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
14 years 10 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
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...
68
Voted
EVOW
2009
Springer
15 years 4 months ago
University Course Timetabling with Genetic Algorithm: A Laboratory Excercises Case Study
Abstract. This paper describes the application of a hybrid genetic algorithm to a real-world instance of the university course timetabling problem. We address the timetabling of la...
Zlatko Bratkovic, Tomislav Herman, Vjera Omrcen, M...
CP
2009
Springer
15 years 10 months ago
A Gender-Based Genetic Algorithm for the Automatic Configuration of Algorithms
A problem that is inherent to the development and efficient use of solvers is that of tuning parameters. The CP community has a long history of addressing this task automatically. ...
Carlos Ansótegui, Kevin Tierney, Meinolf Se...