Results 1 to 10 of about 3,879 (190)

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

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   +4 more sources

Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization Algorithm (DHHO) and Encoder Modeling [PDF]

Sensors
This paper aims to improve the steering performance of the Ackermann personal mobility scooter based on a new meta-heuristic optimization algorithm named Differential Harris Hawks Optimization (DHHO) and the modeling of the steering encoder. The steering
Mohamed Reda, Ahmed Onsy, Amira Y. Haikal, Ali Ghanbari   +3 more
doaj   +5 more sources

An Improved Harris Hawks Optimization Algorithm and Its Application in Grid Map Path Planning [PDF]

Biomimetics, 2023
Aimed at the problems of the Harris Hawks Optimization (HHO) algorithm, including the non-origin symmetric interval update position out-of-bounds rate, low search efficiency, slow convergence speed, and low precision, an Improved Harris Hawks ...
Lin Huang, Qiang Fu, Nan Tong
doaj   +2 more sources

Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter [PDF]

Journal of Rock Mechanics and Geotechnical Engineering, 2022
The study proposes an improved Harris hawks optimization (IHHO) algorithm by integrating the standard Harris hawks optimization (HHO) algorithm and mutation-based search mechanism for developing a high-performance machine learning solution for predicting
Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo'ubi, Bishwajit Roy, Pijush Samui, Amir H. Gandomi   +5 more
doaj   +3 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
exaly   +3 more sources

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

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

Solving the Combined Heat and Power Economic Dispatch Problem in Different Scale Systems Using the Imperialist Competitive Harris Hawks Optimization Algorithm [PDF]

Biomimetics, 2023
The aim of electrical load dispatch (ELD) is to achieve the optimal planning of different power plants to supply the required power at the minimum operation cost.
Amir Nazari, Hamdi Abdi
doaj   +2 more sources

Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling [PDF]

Automatika
The growing Internet of Things (IoT) landscape requires robust security; traditional rule-based systems are insufficient, driving the integration of machine learning (ML) for effective intrusion detection.
Jisha Jose, J. E. Judith
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