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 …

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 …

An improved reptile search algorithm with ghost opposition-based learning for global optimization problems

H Jia, C Lu, D Wu, C Wen, H Rao… - Journal of …, 2023 - academic.oup.com
In 2021, a meta-heuristic algorithm, Reptile Search Algorithm (RSA), was proposed. RSA
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …

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 …

Modified sand cat swarm optimization algorithm for solving constrained engineering optimization problems

D Wu, H Rao, C Wen, H Jia, Q Liu, L Abualigah - Mathematics, 2022 - mdpi.com
The sand cat swarm optimization algorithm (SCSO) is a recently proposed metaheuristic
optimization algorithm. It stimulates the hunting behavior of the sand cat, which attacks or …

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 …

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 …

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

CY Li, J Li, HL Chen, M **, 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 …

Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm

S Kassaymeh, M Al-Laham, MA Al-Betar… - Knowledge-Based …, 2022 - Elsevier
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …

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 …