[HTML][HTML] Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine
J Hu, AA Heidari, Y Shou, H Ye, L Wang… - Computers in Biology …, 2022 - Elsevier
Abstract Coronavirus disease-2019 (COVID-19) has made the world more cautious about
widespread viruses, and a tragic pandemic that was caused by a novel coronavirus has …
widespread viruses, and a tragic pandemic that was caused by a novel coronavirus has …
Termite life cycle optimizer
This paper introduces a novel bio-inspired meta-heuristic optimization algorithm, named
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
A modified oppositional chaotic local search strategy based aquila optimizer to design an effective controller for vehicle cruise control system
In this work, we propose a real proportional-integral-derivative plus second-order derivative
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …
[HTML][HTML] 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 …
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
[HTML][HTML] Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study
MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Mathematics, 2022 - mdpi.com
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …
numerous attributes. The presence of redundant and irrelevant features in datasets …
SEB-ChOA: an improved chimp optimization algorithm using spiral exploitation behavior
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
[HTML][HTML] Boosting whale optimizer with quasi-oppositional learning and Gaussian barebone for feature selection and COVID-19 image segmentation
Whale optimization algorithm (WOA) tends to fall into the local optimum and fails to converge
quickly in solving complex problems. To address the shortcomings, an improved WOA …
quickly in solving complex problems. To address the shortcomings, an improved WOA …
Multi-threshold Image Segmentation based on an improved Salp Swarm Algorithm: Case study of breast cancer pathology images
H Guo, M Li, H Liu, X Chen, Z Cheng, X Li, H Yu… - Computers in Biology …, 2024 - Elsevier
Breast cancer poses a significant risk to women's health, and it is essential to provide proper
diagnostic support. Medical image processing technology is a key component of all …
diagnostic support. Medical image processing technology is a key component of all …