The significance of intrusion detection systems in networks has grown because of the digital
revolution and increased operations. The intrusion detection method classifies the network …

In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

The parameter identification problem of photovoltaic (PV) models is classified as a complex
nonlinear optimization problem that cannot be accurately solved by traditional techniques …

Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …

Abstract The Honey Badger Algorithm (HBA) is a new swarm intelligence optimization
algorithm by simulating the foraging behavior of honey badgers in nature. To further improve …

Honey badger algorithm (HBA) is a recent swarm-based metaheuristic algorithm that excels
in simplicity and high exploitation capability. However, it suffers from some limitations …

Feature selection is to identify informative and concise sub-features from raw datasets,
which can be modelled as an optimization issue. An adaptive ranking moth-flame …

This paper proposes a novel multi-hybrid algorithm named DHPN, using the best-known
properties of dwarf mongoose algorithm (DMA), honey badger algorithm (HBA), prairie dog …

The field of nature inspired algorithm (NIA) is a vital area of research that consistently aids in
solving optimization problems. One of the metaheuristic algorithm classifications that has …

Abstract The Golden Jackal Optimization (GJO) algorithm is a novel, nature-inspired
optimization technique that has gained recognition as a highly promising metaheuristic due …