Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications
MA El-Shorbagy, A Bouaouda, HA Nabwey… - IEEE …, 2024 - ieeexplore.ieee.org
The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …
[HTML][HTML] Ccfd: Efficient credit card fraud detection using meta-heuristic techniques and machine learning algorithms
This study addresses the critical challenge of data imbalance in credit card fraud detection
(CCFD), a significant impediment to accurate and reliable fraud prediction models. Fraud …
(CCFD), a significant impediment to accurate and reliable fraud prediction models. Fraud …
[HTML][HTML] Optimizing jointly mining decision and resource allocation in a MEC-enabled blockchain networks
M Abdel-Basset, R Mohamed, IM Hezam… - Journal of King Saud …, 2023 - Elsevier
In this paper, several recently published metaheuristic algorithms are adapted to optimize
the NP-hard problem of jointly mining decision and resource allocation in mobile edge …
the NP-hard problem of jointly mining decision and resource allocation in mobile edge …
[HTML][HTML] Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application
M Abdel-Basset, R Mohamed, S Saber… - Journal of King Saud …, 2024 - Elsevier
This paper examines the performance of three binary metaheuristic algorithms when applied
to two distinct knapsack problems (0–1 knapsack problems (KP01) and multidimensional …
to two distinct knapsack problems (0–1 knapsack problems (KP01) and multidimensional …