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 …
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization
G Hu, Y Zheng, L Abualigah, AG Hussien - Advanced Engineering …, 2023 - Elsevier
Dandelion Optimizer (DO) is a recently proposed swarm intelligence algorithm that
coincides with the process of finding the best reproduction site for dandelion seeds …
coincides with the process of finding the best reproduction site for dandelion seeds …
Genghis Khan shark optimizer: a novel nature-inspired algorithm for engineering optimization
G Hu, Y Guo, G Wei, L Abualigah - Advanced Engineering Informatics, 2023 - Elsevier
This study tenders a new nature-inspired metaheuristic algorithm (MA) based on the
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
Alpine skiing optimization: A new bio-inspired optimization algorithm
Y Yuan, J Ren, S Wang, Z Wang, X Mu… - Advances in Engineering …, 2022 - Elsevier
A novel swarm intelligence optimization algorithm is proposed, which is named alpine skiing
optimization (ASO). The main inspiration of the ASO originated from the behaviors of skiers …
optimization (ASO). The main inspiration of the ASO originated from the behaviors of skiers …
Hybridizing of whale and moth-flame optimization algorithms to solve diverse scales of optimal power flow problem
The optimal power flow (OPF) is a practical problem in a power system with complex
characteristics such as a large number of control parameters and also multi-modal and non …
characteristics such as a large number of control parameters and also multi-modal and non …
Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems
Abstract The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
Chaotic Harris hawks optimization algorithm
H Gezici, H Livatyalı - Journal of Computational Design and …, 2022 - academic.oup.com
Harris hawks optimization (HHO) is a population-based metaheuristic algorithm, inspired by
the hunting strategy and cooperative behavior of Harris hawks. In this study, HHO is …
the hunting strategy and cooperative behavior of Harris hawks. In this study, HHO is …
[HTML][HTML] Nonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks
This paper is an influential attempt to identify and alleviate some of the issues with the
recently proposed optimization technique called the Marine Predator Algorithm (MPA). With …
recently proposed optimization technique called the Marine Predator Algorithm (MPA). With …
Combined forecasting tool for renewable energy management in sustainable supply chains
Y Sun, J Ding, Z Liu, J Wang - Computers & Industrial Engineering, 2023 - Elsevier
Effective managing sustainable supply chain is on the most cutting-edge position of various
organizations in the process of delivering products. There are many optimization …
organizations in the process of delivering products. There are many optimization …
Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
H Jia, Q Wen, Y Wang, S Mirjalili - Cluster Computing, 2024 - Springer
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic
optimization algorithm based on human behavior: Catch Fish Optimization Algorithm …
optimization algorithm based on human behavior: Catch Fish Optimization Algorithm …