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GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 10 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
DMIN
2008
190views Data Mining» more  DMIN 2008»
15 years 8 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
NIPS
2008
15 years 8 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
IPCO
2004
110views Optimization» more  IPCO 2004»
15 years 8 months ago
Scheduling an Industrial Production Facility
Managing an industrial production facility requires carefully allocating limited resources, and gives rise to large, potentially complicated scheduling problems. In this paper we c...
Eyjolfur Asgeirsson, Jonathan W. Berry, Cynthia A....
RIVF
2003
15 years 8 months ago
Airspace Sectorization By Constraint Programming
—In this paper we consider the Airspace Sectorization Problem (ASP) where airspace has to be partitioned into a number of sectors, each sector being assigned to a team of air tra...
Huy Trandac, Philippe Baptiste, Vu Duong