Results 51 to 60 of about 1,892 (172)

Hybrid Slime Mold and Arithmetic Optimization Algorithm with Random Center Learning and Restart Mutation

Biomimetics, 2023
The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a strong global search ability.
Hongmin Chen, Zhuo Wang, Heming Jia, Xindong Zhou, Laith Abualigah   +4 more
doaj   +1 more source

LMRAOA: An improved arithmetic optimization algorithm with multi-leader and high-speed jumping based on opposition-based learning solving engineering and numerical problems

Alexandria Engineering Journal, 2022
This paper proposes an improved variant of the arithmetic optimization algorithm (AOA), called LMRAOA, which is used to solve numerical and engineering problems. Various strategies are proposed to improve AOA.
Yu-Jun Zhang, Yu-Fei Wang, Yu-Xin Yan, Juan Zhao, Zheng-Ming Gao   +4 more
doaj   +1 more source

Arithmetic optimization algorithm based maximum power point tracking for grid-connected photovoltaic system

Scientific Reports, 2023
This paper suggests an optimal maximum power point tracking (MPPT) control scheme for a grid-connected photovoltaic (PV) system using the arithmetic optimization algorithm (AOA).
Mohamed Ahmed Ebrahim Mohamed, Shymaa Nasser Ahmed, Mohamed Eladly Metwally   +2 more
doaj   +1 more source

Reinforced Mnemonic Reader for Machine Reading Comprehension

, 2018
In this paper, we introduce the Reinforced Mnemonic Reader for machine reading comprehension tasks, which enhances previous attentive readers in two aspects. First, a reattention mechanism is proposed to refine current attentions by directly accessing to
Hu, Minghao, Huang, Zhen, Peng, Yuxing, Qiu, Xipeng, Wei, Furu, Zhou, Ming   +5 more
core   +1 more source

A Multistrategy Improved Archimedes Optimization Algorithm for Solving Engineering Problems

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Given the shortcomings of the Archimedes optimization algorithm (AOA), the traditional AOA exhibits the following limitations: the initialization phase employs a uniform 0‐1 random number distribution to generate sequences, resulting in limited diversity of initial solutions.
Xiaoping Xu, Yajing Cao, Wenbo Li, Yu Zhang, Feng Wang, Yike Li, Pramita Mishra   +6 more
wiley   +1 more source

Dual‐stage day‐ahead optimized performance of renewable‐based microgrids

IET Renewable Power Generation, 2023
In distributed networks, wind turbine generators (WTGs) are to be optimally sized and positioned for cost‐effective and efficient network service. Various meta‐heuristic algorithms have been proposed to allocate WTGs within microgrids.
Ahmed M. Helmi, Farag K. Abo‐Elyousr, Hassan Haes Alhelou, Haitham S. Ramadan   +3 more
doaj   +1 more source

A Multiple Mechanism Enhanced Arithmetic Optimization Algorithm for Numerical Problems

Biomimetics, 2023
The Arithmetic Optimization Algorithm (AOA) is a meta-heuristic algorithm inspired by mathematical operators, which may stagnate in the face of complex optimization issues. Therefore, the convergence and accuracy are reduced.
Sen Yang, Linbo Zhang, Xuesen Yang, Jiayun Sun, Wenhao Dong   +4 more
doaj   +1 more source

A Survey of Training Healthcare Robots With Extended Reality and Digital Twins

Expert Systems, Volume 42, Issue 10, October 2025.
ABSTRACT Healthcare robots are cyberphysical systems designed to assist older adults and reduce the burden on healthcare professionals and family caregivers. These robots can perform various tasks, including delivering medications on time, promoting physical activity, and cultivating social connections by contacting family and friends.
Khusrav Badalov, Hao‐An Tseng, Young Yoon   +2 more
wiley   +1 more source

Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases

Brain and Behavior, Volume 15, Issue 8, August 2025.
This paper performed extensive experiments to analyze the effect of different ML, DL, and TL methods on brain tumor and Alzheimer's disease classification. We also highlight the limitations of conventional ML and DL methods compared to the transfer learning models. While many studies have concentrated on brain tumors and Alzheimer's disease separately,
Saroj Kumar Pandey, Yogesh Kumar Rathore, Sunakshi Mehra, Anurag Sinha, Tarun Raj Kumar, Ankit Kumar, Rekh Ram Janghel, Ayodele Lasisi, Quadri Noorulhasan Naveed, Md. Sazid Reza   +9 more
wiley   +1 more source

Machine learning approach for the flexural strength of 3D‐printed fiber‐reinforced concrete based on the meta‐heuristic algorithm

Structural Concrete, Volume 26, Issue 4, Page 4103-4142, August 2025.
Abstract The increasing demand for concrete in construction presents challenges such as pollution, high energy consumption, and complex structural requirements. Three‐dimensional printing (3DP) offers a promising solution by eliminating formwork, reducing waste, and enabling intricate geometries.
Nima Khodadadi, Hossein Roghani, Francisco De Caso, El‐Sayed M. El‐kenawy, Yelena Yesha, Antonio Nanni   +5 more
wiley   +1 more source