Moth flame optimization: theory, modifications, hybridizations, and applications

SK Sahoo, AK Saha, AE Ezugwu, JO Agushaka… - … Methods in Engineering, 2023 - Springer
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

Optimization method for forecasting confirmed cases of COVID-19 in China

MAA Al-Qaness, AA Ewees, H Fan… - Journal of clinical …, 2020 - mdpi.com
In December 2019, a novel coronavirus, called COVID-19, was discovered in Wuhan, China,
and has spread to different cities in China as well as to 24 other countries. The number of …

Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments

M Abd Elaziz, L Abualigah, I Attiya - Future Generation Computer Systems, 2021 - Elsevier
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …

Application of swarm intelligence optimization algorithms in image processing: A comprehensive review of analysis, synthesis, and optimization

M Xu, L Cao, D Lu, Z Hu, Y Yue - Biomimetics, 2023 - mdpi.com
Image processing technology has always been a hot and difficult topic in the field of artificial
intelligence. With the rise and development of machine learning and deep learning …

An improved marine predators algorithm with fuzzy entropy for multi-level thresholding: real world example of COVID-19 CT image segmentation

M Abd Elaziz, AA Ewees, D Yousri, HSN Alwerfali… - Ieee …, 2020 - ieeexplore.ieee.org
Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

Multi-verse optimizer with rosenbrock and diffusion mechanisms for multilevel threshold image segmentation from COVID-19 chest X-ray images

Y Han, W Chen, AA Heidari, H Chen - Journal of Bionic Engineering, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19) is the most severe epidemic that is
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …

Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times

AA Ewees, MAA Al-qaness, M Abd Elaziz - Applied Mathematical Modelling, 2021 - Elsevier
Unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup
times has received more attention due to its various industrial and scheduling applications …

A solution to the stagnation of multi-verse optimization: An efficient method for breast cancer pathologic images segmentation

Y Han, W Chen, AA Heidari, H Chen… - … Signal Processing and …, 2023 - Elsevier
The multi-verse optimizer (MVO) algorithm has been applied to image segmentation, feature
selection, engineering problems, and many other fields. MVO, like other metaheuristic …

[HTML][HTML] Multilevel thresholding image segmentation based on energy curve with harmony Search Algorithm

R Srikanth, K Bikshalu - Ain Shams Engineering Journal, 2021 - Elsevier
Image segmentation is a process of portion image into regions. From image segmentation
schemes available, multilevel thresholding on the histogram is a highly established method …