Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as one of the most effective optimization algorithm where it was utilized in different problems and domains, successfully. This rev...
Saved in:
| Main Author: | Daoud, Mohammad Sh. (author) |
|---|---|
| Other Authors: | Shehab, Mohammad (author), Al-Mimi, Hani M. (author), Abualigah, Laith (author), Abu Zitar, Raed (author), Shambour, Mohd Khaled Yousef (author) |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1343 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
by: Daoud, Mohammad Sh.
Published: (2023) -
Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
by: Hussie, Abdelazim
Published: (2022) -
Spider monkey optimizations: application review and results
by: Abualigah, Laith
Published: (2024) -
Teaching–learning-based optimization algorithm: analysis study and its application
by: Abualigah, Laith
Published: (2024) -
Model Parameter Identification of Supercapacitors Using Metaheuristic Gradient Based Optimization
by: Yasin, Ahmad
Published: (2023)