GSA for machine learning problems: a comprehensive overview

DOI10.1016/J.APM.2020.11.013zbMath1481.62034OpenAlexW3102857415MaRDI QIDQ823283

Omar Avalos

Publication date: 24 September 2021

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2020.11.013

zbMATH Keywords

classificationdata miningclustering problemmachine learninggravitational search algorithm

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Related Items (1)

Multi-attribute Bayesian fault prediction for hidden-state systems under condition monitoring

Uses Software

• ABC
• MLlib
• GGSA
• Apache Spark
• GSA

Cites Work

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• Two kinds of classifications based on improved gravitational search algorithm and particle swarm optimization algorithm
• An electromagnetism-like mechanism for global optimization
• Facing the classification of binary problems with a GSA-SVM hybrid system
• GSA: A gravitational search algorithm
• Machine Learning for Fluid Mechanics
• Flower Pollination Algorithm for Global Optimization

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