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» A parameter-less genetic algorithm
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GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
15 years 5 months ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 11 months ago
A building-block royal road where crossover is provably essential
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
Richard A. Watson, Thomas Jansen
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 11 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 10 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
GECCO
2003
Springer
141views Optimization» more  GECCO 2003»
15 years 10 months ago
Finding the Optimal Gene Order in Displaying Microarray Data
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon