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Harris hawks optimization: Algorithm and applications [PDF]

Future Generation Computer Systems, 2019
Abstract In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the cooperative behavior and chasing style of Harris’ hawks in nature called surprise pounce.
Ali Asghar Heidari, Seyedali Mirjalili, Hossam Faris   +2 more
exaly   +3 more sources

Optimization of water distribution of network systems using the Harris Hawks optimization algorithm (Case study: Homashahr city)

MethodsX, 2020
In this article applies the Harris Hawks Optimization Algorithm for optimization of the water distribution network of the Homashahr located in Iran for a period of one month (from 30 September 2018 to 30 October 2019).
Saeid Khalifeh, Saeid Akbarifard, Vahid Khalifeh, Ebrahim Zallaghi   +3 more
doaj   +3 more sources

A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks

Sensors, 2023
A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was proposed in this research article.
P. Arun Mozhi Devan, Rosdiazli Ibrahim, Madiah Omar, Kishore Bingi, Hakim Abdulrab   +4 more
doaj   +3 more sources

An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field

IEEE Access, 2020
Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce.
Zenab Mohamed Elgamal, Norizan Binti Mohd Yasin, Mohammad Tubishat, Mohammed Alswaitti, Seyedali Mirjalili   +4 more
doaj   +3 more sources

Improved Harris Combined With Clustering Algorithm for Data Traffic Classification

IEEE Access, 2022
Aiming at the problem that the data traffic in the intelligent wireless communication system presents complex characteristics such as burstiness and self-similarity, which leads to the low classification accuracy of the existing classification model for ...
Qingli Liu, Mengqian Li, Na Cao, Zhenya Zhang, Guoqiang Yang   +4 more
doaj   +2 more sources

Hybrid Henry Gas Solubility Optimization Algorithm Based on the Harris Hawk Optimization

IEEE Access, 2020
Henry Gas Solubility Optimization Algorithm (HGSO) is a physical-based algorithm based on Henry's Law and simulates the process that the solubility of gas in liquid changes with temperature.
Wei Xie, Cheng Xing, Jiesheng Wang, Shasha Guo, Meng-Wei Guo, Ling-Feng Zhu   +5 more
doaj   +3 more sources

Hybrid Aquila optimizer–Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification [PDF]

Scientific Reports
Magnetic resonance imaging (MRI) is hard to categorize properly in terms of interclass similarity, there is data imbalance, and sensitive clinical decision-making: but the performance of convolutional neural networks (CNNs) highly relies on effective ...
Manoj Kumar, Noor Mohd, G. Shivam, Ankur Goyal, Deepak Parashar, Rijwan Khan   +5 more
doaj   +2 more sources

A robot path planning method using improved Harris Hawks optimization algorithm

Measurement + Control
The traditional Harris Hawks optimization algorithm is prone to the local shortest path, slow search speed and poor path accuracy in indoor mobile robot path planning.
Changyong Li, Qing Si, Jianan Zhao, Pengbo Qin   +3 more
doaj   +2 more sources

A Modified Harris Hawks Algorithm to Solving Optimization Problems [PDF]

International Journal of Industrial Engineering and Production Research
Harris Hawks Optimization (HHO) algorithm, which is a new metaheuristic algorithm that has shown promising results in comparison to other optimization methods.
Rabie Mosaad Rabie, Hegazy Zaher, Naglaa Ragaa Saied, Heba Sayed   +3 more
doaj   +2 more sources

Chaotic Harris hawks optimization algorithm [PDF]

Journal of Computational Design and Engineering, 2022
Abstract 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 hybridized with 10 different chaotic maps to adjust its critical parameters. Hybridization is performed using four different methods.
Harun Gezici, Haydar Livatyali
openaire   +2 more sources