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GECCO
2004
Springer
13 years 10 months ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...
JCM
2007
129views more  JCM 2007»
13 years 4 months ago
Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems
– Orthogonal Frequency Division Multiplexing is a promising technology for high data rate transmission in wideband wireless systems for achieving high downlink capabilities in th...
Yenumula B. Reddy, Nandigam Gajendar
ICDAR
2003
IEEE
13 years 9 months ago
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
TR
2008
78views more  TR 2008»
13 years 4 months ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit
ISBI
2011
IEEE
12 years 8 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...