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ATAL
2003
Springer
15 years 9 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
15 years 8 months ago
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
Mirela Ovreiu, Dan Simon
GECCO
2010
Springer
233views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCs
The Spidergon interconnection network has become popular recently in multiprocessor systems on chips. To the best of our knowledge, algorithms for collective communications (CC) h...
Jirí Jaros, Vaclav Dvorak
GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 8 months ago
A data-based coding of candidate strings in the closest string problem
Given a set of strings S of equal lengths over an alphabet Σ, the closest string problem seeks a string over Σ whose maximum Hamming distance to any of the given strings is as s...
Bryant A. Julstrom
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 8 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo