Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …

In this study, we introduce the pied kingfisher optimizer (PKO), a novel swarm-based meta-
heuristic algorithm that draws inspiration from the distinctive hunting behavior and symbiotic …

Feature selection is a critical preprocessing step in machine learning aimed at identifying
the most relevant features or variables from a dataset. Although conventional particle swarm …

This paper delves into the enhancement and optimization of on-grid renewable energy
systems using a variety of renewable energy sources, with a particular focus on large-scale …

Aiming at the problems of insufficient ability of artificial COA in the late optimization search
period, loss of population diversity, easy to fall into local extreme value, resulting in slow …

Challenges in the operation of power systems arise from several factors such as the
interconnection of large power systems, integration of new energy sources and the increase …

The recently introduced coati optimization algorithm suffers from drawbacks such as slow
search velocity and weak optimization precision. An enhanced coati optimization algorithm …

Liver diseases represent a significant healthcare challenge, impacting millions globally and
posing complexities in diagnosis. To address this global health concern, this paper …

Feature selection (FS) has garnered significant attention because of its pivotal role in
enhancing the efficiency and effectiveness of various machine learning and data mining …

Image processing and pattern recognition methods have recently been extensively
implemented in histopathological images (HIs). These computer-aided techniques are …