Results 201 to 210 of about 5,692 (245)

SEHHO-COBL: An Enhanced Harris Hawks Optimization with History-Guided Adaptive Parameter Memory and Chaotic Opposition-Based Learning for Numerical and Engineering Optimization

Yanxiao Li, Junhao Wei, Yifu Zhao, Zikun Li, Baili Lu, Sio-Kei Im, Xu Yang, Ka-Hou Chan, Yapeng Wang   +8 more
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Optimizing solar power forecasting with metaheuristic algorithms and deep learning models for photovoltaic grid connected systems. [PDF]

Sci Rep
Mohamad Radzi PNL, Mekhilef S, Mohamed Shah N, Akhter MN, Seyedmahmoudian M, Stojcevski A.   +5 more
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HAWKFOG-an enhanced deep learning framework for the Fog-IoT environment. [PDF]

Front Artif Intell
Abirami R, E P.
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Survival exploration strategies for Harris Hawks Optimizer

Expert Systems with Applications, 2021
Abstract This paper proposes new versions of Harris Hawks Optimizer (HHO) incorporated the survival-of-the-fittest principle of evolutionary algorithms. HHO is the recent swarm-based optimization algorithm imitating the surprise pounce behaviour of Harris’ hawks chasing style. HHO can show different patterns of the exploration and exploitation.
Mohammed Azmi Al-Betar, Mohammed A. Awadallah 0001, Ali Asghar Heidari, Huiling Chen 0001, Habes Al-Khraisat, Chengye Li   +5 more
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Harris Hawks Optimization for the Efficient Reconfiguration of Distribution Networks

2021 29th Mediterranean Conference on Control and Automation (MED), 2021
Improving the efficiency of distribution networks (DNs) is nowadays a challenging objective for modern power grids equipped with distributed generation and storage. In this context, the so-called network reconfiguration problem can be solved to obtain the optimal DN topology that minimizes the total power losses, while ensuring the voltage profile ...
Ahmed M. Helmi, Raffaele Carli, Mariagrazia Dotoli, Haitham S. Ramadan   +3 more
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Compact Harris Hawks Optimization Algorithm

2021 40th Chinese Control Conference (CCC), 2021
The intelligent optimization algorithm performs well in solving complex optimization problems in engineering. However, the intelligent optimization algorithm usually takes long execution time and large memory usage, which is not suitable for the engineering with limited hardware conditions.
Zhihao Yu, Jialu Du, Guangqiang Li
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Harris Hawks optimization with information exchange

Applied Mathematical Modelling, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qu, Chiwen, He, Wei, Peng, Xiangni, Peng, Xiaoning   +3 more
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Hierarchical Harris hawks optimization for epileptic seizure classification

Computers in Biology and Medicine, 2022
The intelligent recognition of electroencephalogram (EEG) signals is a valuable tool for epileptic seizure classification. Given that visual inspection of EEG signals is time-consuming, and that mutant signals dramatically increase the workload of neurologists, automatic epilepsy diagnosis systems are extremely helpful.
Zhenzhen Luo, Shan Jin, Zuoyong Li, Hui Huang 0009, Lei Xiao, Huiling Chen 0001, Ali Asghar Heidari, Jiao Hu, Changzu Chen, Peiyu Chen, Zhongyi Hu 0001   +10 more
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An intensify Harris Hawks optimizer for numerical and engineering optimization problems

Applied Soft Computing, 2020
Abstract Recently developed Harris Hawks Optimization has virtuous behavior for finding optimum solution in search space. However, it easily get trapped into local search space for constrained engineering optimization problems. In order to accelerate the global search phase of existing Harris Hawks optimizer and to stuck it out of local search space,
Vikram Kumar Kamboj, Ayani Nandi, Ashutosh Bhadoria, Shivani Sehgal   +3 more
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