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» Rank based variation operators for genetic algorithms
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BMCBI
2006
91views more  BMCBI 2006»
13 years 10 months ago
Empirical study of supervised gene screening
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
Shuangge Ma
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 11 months ago
Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms
The interaction among particles is a vital aspect of Particle Swarm Optimization. As such, it has a strong influence on the swarm’s success. In this study various approaches re...
Johannes Jordan, Sabine Helwig, Rolf Wanka
DAWAK
2004
Springer
14 years 3 months ago
Inductive Databases as Ranking
Abstract. Most of the research in data mining has been focused on developing novel algorithms for specific data mining tasks. However, finding the theoretical foundations of data...
Taneli Mielikäinen
EC
2010
157views ECommerce» more  EC 2010»
13 years 10 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
14 years 3 months ago
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels
Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel clonal selection algorithm for multiuser detection in Code-division Multiple-access Systems. By...
Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du