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105
Voted
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
15 years 7 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary interactive music composition
This paper proposes the CFE framework--Composition, Feedback, and Evolution--and presents an interactive music composition system. The system composes short, manageable pieces of ...
Tao-yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, ...
131
Voted
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 7 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary search for optimal combinations of markers in clothing manufacturing
Optimizing combinations of placements of parts, known as markers, is an important preparatory step in order-based industrial production of clothes. Given a work order in the form ...
Bogdan Filipic, Iztok Fister, Marjan Mernik
90
Voted
GECCO
2006
Springer
110views Optimization» more  GECCO 2006»
15 years 7 months ago
A game-theoretic investigation of selection methods in two-population coevolution
We examine the dynamical and game-theoretic properties of several selection methods in the context of twopopulation coevolution. The methods we examine are fitness-proportional, l...
Sevan G. Ficici