Deep learning at the service of metaheuristics for solving numerical optimization problems

Integrating deep learning methods into metaheuristic algorithms has gained attention for addressing design-related issues and enhancing performance. The primary objective is to improve solution quality and convergence speed within solution search spaces. This study investigates the use of deep learn...

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Bibliographic Details

Published in:	Neural computing & applications Vol. 37; no. 27; pp. 22493 - 22528
Main Authors:	Oyelade, Olaide N., Ezugwu, Absalom E., Saha, Apu K., Thieu, Nguyen V., Gandomi, Amir H.
Format:	Journal Article
Language:	English
Published:	London Springer London 01.09.2025
Subjects:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image Processing and Computer Vision Probability and Statistics in Computer Science S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Special Issue on Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Benchmark functions Deep learning Long short-term memory, LSTM Neural networks Metaheuristic algorithms
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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