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» Hybrid Genetic Algorithms: A Review
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AIR
2004
130views more  AIR 2004»
15 years 6 months ago
A Hybrid Framework for Over-Constrained Generalized
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
Andrew Lim, Brian Rodrigues, Ramesh Thangarajo, Fe...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 10 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
ISBRA
2009
Springer
16 years 29 days ago
A Linear-Time Algorithm for Analyzing Array CGH Data Using Log Ratio Triangulation
Abstract. DNA copy number is the number of replicates of a contiguous segment of DNA on the genome. Copy number alteration (CNA) is a genetic abnormality in which the number of the...
Matthew Hayes, Jing Li
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 9 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
FUZZIEEE
2007
IEEE
16 years 15 days ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen