Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …

Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation

L Liu, D Zhao, F Yu, AA Heidari, J Ru, H Chen… - Computers in Biology …, 2021 - Elsevier
Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …

[HTML][HTML] Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems

H Zhang, T Liu, X Ye, AA Heidari, G Liang… - Engineering with …, 2023 - Springer
There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its
simple framework, it has been widely used in many fields. But when handling some …

[HTML][HTML] Enhanced remora optimization algorithm for solving constrained engineering optimization problems

S Wang, AG Hussien, H Jia, L Abualigah, R Zheng - Mathematics, 2022 - mdpi.com
Remora Optimization Algorithm (ROA) is a recent population-based algorithm that mimics
the intelligent traveler behavior of Remora. However, the performance of ROA is barely …

Deep ensemble of slime mold algorithm and arithmetic optimization algorithm for global optimization

R Zheng, H Jia, L Abualigah, Q Liu, S Wang - Processes, 2021 - mdpi.com
In this paper, a new hybrid algorithm based on two meta-heuristic algorithms is presented to
improve the optimization capability of original algorithms. This hybrid algorithm is realized by …

Green scheduling of distributed two-stage reentrant hybrid flow shop considering distributed energy resources and energy storage system

J Dong, C Ye - Computers & Industrial Engineering, 2022 - Elsevier
In order to build a green manufacturing model and realize energy conservation and
emission reduction, we establish a distributed two-stage reentrant hybrid flow shop bi-level …

[HTML][HTML] Improved salp swarm algorithm with mutation schemes for solving global optimization and engineering problems

B Nautiyal, R Prakash, V Vimal, G Liang… - Engineering with …, 2021 - Springer
Abstract Salp Swarm Algorithm (SSA) is a recent metaheuristic algorithm developed from the
inspiration of salps' swarming behavior and characterized by a simple search mechanism …

Enhanced Harris hawks optimization with multi-strategy for global optimization tasks

CY Li, J Li, HL Chen, M Jin, H Ren - Expert Systems with Applications, 2021 - Elsevier
Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …

Gaussian barebone salp swarm algorithm with stochastic fractal search for medical image segmentation: A COVID-19 case study

Q Zhang, Z Wang, AA Heidari, W Gui, Q Shao… - Computers in biology …, 2021 - Elsevier
An appropriate threshold is a key to using the multi-threshold segmentation method to solve
image segmentation problems, and the swarm intelligence (SI) optimization algorithm is one …

Diagnosing coronavirus disease 2019 (COVID-19): Efficient Harris Hawks-inspired fuzzy K-nearest neighbor prediction methods

H Ye, P Wu, T Zhu, Z Xiao, X Zhang, L Zheng… - Ieee …, 2021 - ieeexplore.ieee.org
This study is devoted to proposing a useful intelligent prediction model to distinguish the
severity of COVID-19, to provide a more fair and reasonable reference for assisting clinical …