This study proposes a novel population-based metaheuristic algorithm called the Gazelle
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …

Efficient speed controllers for dynamic driving tasks in autonomous vehicles are crucial for
ensuring safety and reliability. This study proposes a novel approach for designing a …

Intrusion Detection (ID) is an essential task in the cyberattacks domain built to secure
Internet applications and networks from malicious actors. The main shortcoming of the …

Abstract Chaos Game Optimization (CGO) is a heuristic optimization approach that
estimates global optima for optimization problems using operators based on chaos theory …

This paper proposes new improved binary versions of the Sine Cosine Algorithm (SCA) for
the Feature Selection (FS) problem. FS is an essential machine learning and data mining …

Abstract The Salp Swarm Algorithm (SSA) is an effective single-objective optimization
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …

Feature Selection (FS) is a special preprocessing step in Machine Learning (ML) that
reduces the number of unwanted features in datasets to increase the accuracy of ML …

Lupus nephritis (LN) is a severe renal complication of systemic lupus erythematosus (SLE),
characterized by kidney inflammation and damage, often leading to significant morbidity and …

The salp swarm algorithm (SSA) is a well-known optimization algorithm that is increasingly
being utilized to solve many sorts of optimization problems. However, SSA may converge to …

In order to better understand and analyze population-based meta-heuristic optimization
algorithms, this paper proposed a new hybrid algorithm combined Lévy flight with modified …