A hybrid swarm intelligence feature selection approach based on time-varying transition parameter | Zendy

Jomana Yousef Khaseeb | Zendy; Arabi Keshk | Zendy; Anas Youssef | Zendy

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A hybrid swarm intelligence feature selection approach based on time-varying transition parameter

Author(s) -

Jomana Yousef Khaseeb,

Arabi Keshk,

Anas Youssef

Publication year - 2022

Publication title -

international journal of power electronics and drive systems/international journal of electrical and computer engineering

Language(s) - English

Resource type - Journals

eISSN - 2722-2578

pISSN - 2722-256X

DOI - 10.11591/ijece.v13i1.pp781-795

Subject(s) - particle swarm optimization , tournament selection , feature selection , computer science , artificial intelligence , selection (genetic algorithm) , local optimum , fitness proportionate selection , swarm behaviour , metaheuristic , feature (linguistics) , tournament , diversification (marketing strategy) , pattern recognition (psychology) , mathematical optimization , machine learning , fitness function , genetic algorithm , mathematics , linguistics , philosophy , combinatorics , marketing , business

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