A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection

Marwa Hammami; Slim Bechikh; Chih‐Cheng Hung; Lamjed Ben Saïd

doi:10.1007/s12293-018-0269-2

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A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection

Marwa Hammami Slim Bechikh Chih‐Cheng Hung Lamjed Ben Saïd

Year: 2018 Journal: Memetic Computing Vol: 11 (2)Pages: 193-208 Publisher: Springer Science+Business Media

DOI: 10.1007/s12293-018-0269-2

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Keywords:

Feature selection Computer science Classifier (UML) Evolutionary algorithm Artificial intelligence Data mining Sorting Confusion matrix Benchmark (surveying) Pattern recognition (psychology) Curse of dimensionality Genetic algorithm Filter (signal processing) Algorithm Machine learning

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection

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