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» Metaphor for learning: an evolutionary algorithm
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GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
13 years 9 months ago
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
Petr Posik
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 7 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
ATAL
2006
Springer
13 years 11 months ago
A novel method for automatic strategy acquisition in N-player non-zero-sum games
We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
Steve Phelps, Marek Marcinkiewicz, Simon Parsons
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
14 years 1 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 1 months ago
A destructive evolutionary process: a pilot implementation
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The operating parameters of Flash memory are notoriously difficult to determin...
Joe Sullivan, Conor Ryan