A local opposition-learning golden-sine grey wolf optimization algorithm for feature selection in data classification

Li Zhang

doi:10.1016/j.asoc.2023.110319

ScienceGate Book Chapters

JOURNAL ARTICLE

A local opposition-learning golden-sine grey wolf optimization algorithm for feature selection in data classification

Li Zhang

Year: 2023 Journal: Applied Soft Computing Vol: 142 Pages: 110319-110319 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2023.110319

Get Full-Text PDF Get Analytical Report

Keywords:

Local optimum Computer science Algorithm Artificial intelligence Feature selection Feature (linguistics) Convergence (economics) Population Pattern recognition (psychology) Machine learning

Metrics

Cited By

15.33

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

A local opposition-learning golden-sine grey wolf optimization algorithm for feature selection in data classification

Metrics

Citation History

Topics

Related Documents

A Local Opposition-Learning Golden-Sine Grey Wolf Optimization Algorithm for Feature Selection in Data Classification

A Local Opposition-Learning Golden-Sine Grey Wolf Optimization Algorithm for Feature Selection in Data Classification

Opposition-Based Enhanced Grey Wolf Optimization Algorithm for Feature Selection in Breast Density Classification

Opposition-based Grey Wolf Optimization Approaches for Feature Selection

Feature Selection using MultiObjective Grey Wolf Optimization Algorithm