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...

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Egile Nagusiak:	Ibrahim Al-Shourbaji, Pramod Kachare, Sajid Fadlelseed, Abdoh Jabbari, Abdelazim G. Hussien, Faisal Al-Saqqar, Laith Abualigah, Abdalla Alameen
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Springer 2023-06-01
Saila:	International Journal of Computational Intelligence Systems
Gaiak:	Feature selection Machine learning Metaheuristic algorithms Artificial ecosystem-based optimization Dwarf mongoose optimization
Sarrera elektronikoa:	https://doi.org/10.1007/s44196-023-00279-6
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