Artificial bee colony-based support vector machines with feature selection and parameter optimization for rule extraction

Data selection based on decision tree for SVM classification on large data sets

(2015) Jair Cervantes et al.   APPLIED SOFT COMPUTING

A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems

(2015) Adel Sabry Eesa et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines

(2015) Tarek Lajnef et al.   JOURNAL OF NEUROSCIENCE METHODS

An evidential classifier based on feature selection and two-step classification strategy

(2015) Chunfeng Lian et al.   PATTERN RECOGNITION

An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system

(2012) Mohd Herwan Sulaiman et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems

(2010) Dervis Karaboga et al.   APPLIED SOFT COMPUTING

Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms

(2010) Adam Prügel-Bennett   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Rule extraction from support vector machines: A review

(2010) Nahla Barakat et al.   NEUROCOMPUTING

Decompositional Rule Extraction from Support Vector Machines by Active Learning

(2009) D. Martens et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Population size versus runtime of a simple evolutionary algorithm

(2008) Carsten Witt   THEORETICAL COMPUTER SCIENCE

A hybrid genetic algorithm and particle swarm optimization for multimodal functions

(2007) Yi-Tung Kao et al.   APPLIED SOFT COMPUTING

On the performance of artificial bee colony (ABC) algorithm

(2007) D. Karaboga et al.   APPLIED SOFT COMPUTING