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IFIP
2001
Springer
14 years 1 months ago
An Evolutionary Approach for Pareto-optimal Configurations in SOC Platforms
: One of the most important problems in SOC platforms design is that of defining strategies for tuning the parameters of a parameterized system so as to obtain the Pareto-optimal s...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
CEC
2003
IEEE
12 years 2 months ago
Self Adaptive Island GA
Exploration efficiency of GAs largely depends on parameter values. But, it is hard to manually adjust these values. To cope with this problem, several adaptive GAs which automatica...
Takashima, E.,Murata, Y., Shibata, N., Ito, M.
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 2 months ago
Parameter-Less Hierarchical BOA
Abstract. The parameter-less hierarchical Bayesian optimization algorithm (hBOA) enables the use of hBOA without the need for tuning parameters for solving each problem instance. T...
Martin Pelikan, Tz-Kai Lin
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 3 months ago
Screening the parameters affecting heuristic performance
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Enda Ridge, Daniel Kudenko
ESANN
2001
13 years 10 months ago
The synergy between multideme genetic algorithms and fuzzy systems
In this article, a real-coded genetic algorithm (GA) is proposed capable of simultaneously optimizing the structure of a system (number of inputs, membership functions and rules) ...
Ignacio Rojas Ruiz, José Luis Bernier, Edua...