Application of binary quantum-inspired gravitational search algorithm in feature subset selection

Fatemeh Barani; Mina Mirhosseini; Hossein Nezamabadi–pour

doi:10.1007/s10489-017-0894-3

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Application of binary quantum-inspired gravitational search algorithm in feature subset selection

Fatemeh Barani Mina Mirhosseini Hossein Nezamabadi–pour

Year: 2017 Journal: Applied Intelligence Vol: 47 (2)Pages: 304-318 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-017-0894-3

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Keywords:

Computer science Feature selection Classifier (UML) Pattern recognition (psychology) Algorithm Binary number Feature (linguistics) Artificial intelligence Selection (genetic algorithm) Metaheuristic Gravitational search algorithm Machine learning Mathematics Particle swarm optimization

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Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Artificial Immune Systems Applications

Physical Sciences → Engineering → Biomedical Engineering

Application of binary quantum-inspired gravitational search algorithm in feature subset selection

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