Feature selection has become an indispensable machine learning process for data preprocessing due to the ever-increasing sizes in actual data. There have been many …
J Xue, B Shen - The Journal of Supercomputing, 2023 - Springer
In this paper, a novel population-based technique called dung beetle optimizer (DBO) algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and …
H Su, D Zhao, AA Heidari, L Liu, X Zhang, M Mafarja… - Neurocomputing, 2023 - Elsevier
This paper proposes an efficient optimization algorithm based on the physical phenomenon of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
L Wang, Q Cao, Z Zhang, S Mirjalili, W Zhao - Engineering Applications of …, 2022 - Elsevier
In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …
This study proposes a new nature-inspired metaheuristic that mimics the behaviour of the prairie dogs in their natural habitat called the prairie dog optimization (PDO). The proposed …
C Zhong, G Li, Z Meng - Knowledge-Based Systems, 2022 - Elsevier
In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
FA Hashim, AG Hussien - Knowledge-Based Systems, 2022 - Elsevier
In recent years, several metaheuristic algorithms have been introduced in engineering and scientific fields to address real-life optimization problems. In this study, a novel nature …
This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
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 …