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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
14 years 11 months ago
An evolutionary approach for competency-based curriculum sequencing
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 4 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...
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 1 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
CEC
2010
IEEE
14 years 11 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
14 years 11 months ago
Non-genetic transmission of memes by diffusion
In recent years, there has been an increase in research activities on Memetic Algorithm (MA). MA works with memes; a meme being defined as “the basic unit of cultural transmiss...
Quang Huy Nguyen 0001, Yew-Soon Ong, Meng-Hiot Lim