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LION
2010
Springer
190views Optimization» more  LION 2010»
15 years 10 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
CIAC
2010
Springer
259views Algorithms» more  CIAC 2010»
15 years 10 months ago
On Strategy Improvement Algorithms for Simple Stochastic Games
The study of simple stochastic games (SSGs) was initiated by Condon for analyzing the computational power of randomized space-bounded alternating Turing machines. The game is play...
Rahul Tripathi, Elena Valkanova, V. S. Anil Kumar
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
15 years 10 months ago
Spectral techniques for graph bisection in genetic algorithms
Various applications of spectral techniques for enhancing graph bisection in genetic algorithms are investigated. Several enhancements to a genetic algorithm for graph bisection a...
Jacob G. Martin
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 10 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
ACRI
2006
Springer
15 years 8 months ago
From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms
Abstract. This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective press...
David Simoncini, Philippe Collard, Sébastie...