Gradient-based optimizer improved by Slime Mould Algorithm for global optimization and feature selection for diverse computation problems

Author:

Ewees Ahmed A.ORCID,Ismail Fatma H.ORCID,Sahlol Ahmed T.ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference63 articles.

1. Cooperative meta-heuristic algorithms for global optimization problems;Abd Elaziz;Expert Systems with Applications,2021

2. An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection;Abdel-Basset;Computers & Industrial Engineering,2021

3. An hybrid particle swarm optimization with crow search algorithm for feature selection;Adamu;Machine Learning with Applications,2021

4. Gradient-based optimizer: A new metaheuristic optimization algorithm;Ahmadianfar;Information Sciences,2020

5. Modified aquila optimizer for forecasting oil production;Al-qaness;Geo-Spatial Information Science,2022

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