Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques

Ayça Deniz; Hakan Ezgi Kızılöz; Tansel Dökeroğlu; Ahmet Coşar

doi:10.1016/j.neucom.2017.02.033

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Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques

Ayça Deniz Hakan Ezgi Kızılöz Tansel Dökeroğlu Ahmet Coşar

Year: 2017 Journal: Neurocomputing Vol: 241 Pages: 128-146 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2017.02.033

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Keywords:

Crossover Feature selection Feature (linguistics) Computer science Genetic algorithm Artificial intelligence Algorithm Evolutionary algorithm Support vector machine Population Binary number Binary classification Machine learning Selection (genetic algorithm) Pattern recognition (psychology) Mathematics

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Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques

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