The colony predation algorithm
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 …
(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 …
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 …
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
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 …
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
A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …
investigated for the optimization of engineering problems. CMPA integrates the exploration …
Development and application of slime mould algorithm for optimal economic emission dispatch
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 …
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 …
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 …
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 …
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
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 …
The intention of the segmentation is to “transform the representation of medical images into …