The colony predation algorithm

J Tu, H Chen, M Wang, AH Gandomi - Journal of Bionic Engineering, 2021 - Springer
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …

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 …

Review and empirical analysis of sparrow search algorithm

Y Yue, L Cao, D Lu, Z Hu, M Xu, S Wang, B Li… - Artificial Intelligence …, 2023 - Springer
In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete

HU Ahmed, RR Mostafa, A Mohammed, P Sihag… - Neural Computing and …, 2023 - Springer
Geopolymer concrete is an eco-efficient and environmentally friendly construction material.
Various ashes were used as the binder in geopolymer concrete, such as fly ash, ground …

Chaotic marine predators algorithm for global optimization of real-world engineering problems

S Kumar, BS Yildiz, P Mehta, N Panagant… - Knowledge-Based …, 2023 - Elsevier
A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …

Development and application of slime mould algorithm for optimal economic emission dispatch

MH Hassan, S Kamel, L Abualigah, A Eid - Expert Systems with …, 2021 - Elsevier
In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …

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 …

Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images

H Su, D Zhao, F Yu, AA Heidari, Y Zhang… - Computers in Biology …, 2022 - Elsevier
The artificial bee colony algorithm (ABC) has been successfully applied to various
optimization problems, but the algorithm still suffers from slow convergence and poor quality …

Light spectrum optimizer: a novel physics-inspired metaheuristic optimization algorithm

M Abdel-Basset, R Mohamed, KM Sallam… - Mathematics, 2022 - mdpi.com
This paper introduces a novel physical-inspired metaheuristic algorithm called “Light
Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the …

Sailfish optimizer with Levy flight, chaotic and opposition-based multi-level thresholding for medical image segmentation

FH Shajin, B Aruna Devi, NB Prakash, GR Sreekanth… - Soft Computing, 2023 - Springer
Image segmentation is a procedure of dividing the digital image into multiple set of pixels.
The intention of the segmentation is to “transform the representation of medical images into …