Artificial Ecosystem-Based Optimization with Dwarf Mongoose Optimization for Feature Selection and Global Optimization Problems

Abstract Meta-Heuristic (MH) algorithms have recently proven successful in a broad range of applications because of their strong capabilities in picking the optimal features and removing redundant and irrelevant features. Artificial Ecosystem-based Optimization (AEO) shows extraordinary ability in t...

詳細記述

書誌詳細

主要な著者:	Ibrahim Al-Shourbaji, Pramod Kachare, Sajid Fadlelseed, Abdoh Jabbari, Abdelazim G. Hussien, Faisal Al-Saqqar, Laith Abualigah, Abdalla Alameen
フォーマット:	Artigo
言語:	Inglês
出版事項:	Springer 2023-06-01
シリーズ:	International Journal of Computational Intelligence Systems
主題:	Feature selection Machine learning Metaheuristic algorithms Artificial ecosystem-based optimization Dwarf mongoose optimization
オンライン･アクセス:	https://doi.org/10.1007/s44196-023-00279-6
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