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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 2 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 2 months ago
A new version of the ant-miner algorithm discovering unordered rule sets
The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered...
James Smaldon, Alex Alves Freitas
SLS
2007
Springer
111views Algorithms» more  SLS 2007»
14 years 4 months ago
Mixed Models for the Analysis of Local Search Components
We consider a possible scenario of experimental analysis on heuristics for optimization: identifying the contribution of local search components when algorithms are evaluated on th...
Jørgen Bang-Jensen, Marco Chiarandini, Yuri...
IPSN
2003
Springer
14 years 3 months ago
A Collaborative Approach to In-Place Sensor Calibration
Abstract. Numerous factors contribute to errors in sensor measurements. In order to be useful, any sensor device must be calibrated to adjust its accuracy against the expected meas...
Vladimir Bychkovskiy, Seapahn Megerian, Deborah Es...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 4 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano