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» Initial Population for Genetic Algorithms: A Metric Approach
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ICEC
1994
68views more  ICEC 1994»
13 years 10 months ago
Extended Forking Genetic Algorithm for Order Representation (O-FGA)
There are two types of GAs with difference of their representation of strings. They are the binary coded GA and the order-based GA. We've already proposed a new type of binar...
Shigeyoshi Tsutsui, Yoshiji Fujimoto, Isao Hayashi
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 2 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...
CEC
2005
IEEE
14 years 2 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher
EVOW
2007
Springer
14 years 2 months ago
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...
Shengxiang Yang
PAMI
2006
134views more  PAMI 2006»
13 years 8 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee