An inclusive survey on marine predators algorithm: Variants and applications

R Rai, KG Dhal, A Das, S Ray - Archives of Computational Methods in …, 2023 - Springer
Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

A comprehensive survey on arithmetic optimization algorithm

KG Dhal, B Sasmal, A Das, S Ray, R Rai - Archives of Computational …, 2023 - Springer
Abstract Arithmetic Optimization Algorithm (AOA) is a recently developed population-based
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …

An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm

EH Houssein, DA Abdelkareem, MM Emam… - Computers in Biology …, 2022 - Elsevier
Skin cancer is one of the worst cancers nowadays that poses a severe threat to the health
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …

A novel black widow optimization algorithm for multilevel thresholding image segmentation

EH Houssein, BE Helmy, D Oliva, AA Elngar… - Expert Systems with …, 2021 - Elsevier
Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …

An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation

EH Houssein, K Hussain, L Abualigah… - Knowledge-based …, 2021 - Elsevier
A recent meta-heuristic algorithm called Marine Predators Algorithm (MPA) is enhanced
using Opposition-Based Learning (OBL) termed MPA-OBL to improve their search efficiency …

An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm

EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …

Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease

S Zhao, P Wang, AA Heidari, H Chen… - Computers in Biology …, 2021 - Elsevier
Image segmentation is an essential pre-processing step and is an indispensable part of
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …

An improved tunicate swarm algorithm for global optimization and image segmentation

EH Houssein, BED Helmy, AA Elngar… - IEEE …, 2021 - ieeexplore.ieee.org
This study integrates a tunicate swarm algorithm (TSA) with a local escaping operator (LEO)
for overcoming the weaknesses of the original TSA. The LEO strategy in TSA-LEO prevents …

An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer

EH Houssein, BE Helmy, D Oliva, P Jangir… - … Signal Processing and …, 2022 - Elsevier
Optimization is the process of searching for the optimal (best-so-far) solution among a wide
range of solutions. Besides, in the last two decades, a family of algorithms known as …

Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy

S Zhao, P Wang, AA Heidari, H Chen, W He… - Computers in biology and …, 2021 - Elsevier
Multi-threshold image segmentation (MIS) is now a well known image segmentation
technique, and many researchers have applied intelligent algorithms to it, but these methods …