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Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection

Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan

2020Information Sciences44 citationsDOI

Topics & Concepts

Computer scienceFeature selectionMulti-label classificationMulti-objective optimizationPreprocessorData miningArtificial intelligenceClassifier (UML)Binary classificationPareto principleWeighted votingAlgorithmPattern recognition (psychology)Machine learningMathematical optimizationMathematicsSupport vector machineVotingPolitical scienceLawPoliticsText and Document Classification TechnologiesMachine Learning and Data ClassificationMetaheuristic Optimization Algorithms Research
Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection | Litcius