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GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 4 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
2004
Springer
14 years 4 months ago
Virtual Ramping of Genetic Programming Populations
Abstract. Genetic Programming often uses excessive computational resources because the population size and the maximum number of generations per run are not optimized. We have deve...
Thomas Fernandez
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 5 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 5 months ago
Modeling XCS in class imbalances: population size and parameter settings
This paper analyzes the scalability of the population size required in XCS to maintain niches that are infrequently activated. Facetwise models have been developed to predict the ...
Albert Orriols-Puig, David E. Goldberg, Kumara Sas...
ICCTA
2007
IEEE
14 years 5 months ago
Modeling Time-Varying Population for Biometric Authentication
Population size plays a major role in determining the performance of any biometric authentication system, particularly when such systems are used for civilian applications. In thi...
Vandana Roy, C. V. Jawahar
EVOW
2010
Springer
14 years 6 months ago
A New Selection Ratio for Large Population Sizes
Abstract. Motivated by parallel optimization, we study the SelfAdaptation algorithm for large population sizes. We first show that the current version of this algorithm does not r...
Fabien Teytaud
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
14 years 6 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
EVOW
2010
Springer
14 years 6 months ago
WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm
Abstract. IEEE 802.16, also known as WiMAX, is a new wireless access technology for currently increasing demand of wireless high-speed broadband service. Efficient and effective d...
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf