Solving the Combined Heat and Power Economic Dispatch Problem in Different Scale Systems Using the Imperialist Competitive Harris Hawks Optimization Algorithm [PDF]
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
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Hybrid Aquila optimizer–Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification [PDF]
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 +5 more
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Improved Multi-Strategy Harris Hawks Optimization and Its Application in Engineering Problems [PDF]
In order to compensate for the low convergence accuracy, slow rate of convergence, and easily falling into the trap of local optima for the original Harris hawks optimization (HHO) algorithm, an improved multi-strategy Harris hawks optimization (MSHHO ...
Fulin Tian, Jiayang Wang, Fei Chu
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A robust multiobjective Harris’ Hawks Optimization algorithm for the binary classification problem [PDF]
Abstract The Harris’ Hawks Optimization (HHO) is a recent metaheuristic inspired by the cooperative behavior of the hawks. These avians apply many intelligent techniques like surprise pounce (seven kills) while they are catching their prey according to the escaping patterns of the target.
Tansel Dökeroglu +2 more
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A robot path planning method using improved Harris Hawks optimization algorithm [PDF]
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 +3 more
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Whale Harris hawks optimization based deep learning classifier for brain tumor detection using MRI images [PDF]
The detection of Brain cancer is an essential process, which is based on the clinician’s knowledge and experience. An automatic tumor classification model is important to handle radiologists to detect the brain tumors.
D. Rammurthy, P.K. Mahesh
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Multi-Objective Harris Hawks Optimization Algorithm Based 2-Hop Routing Algorithm for CR-VANET
Vehicular Ad Hoc Network (VANET) emerges to ameliorate road accident, traffic congestion, and infotainment. Cognitive radio (CR) is integrated with VANET (termed as CR-VANET) to deal with the spectrum scarcity problems.
Mohammad Asif Hossain +6 more
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Solving Task Scheduling Problem in Mobile Cloud Computing Using the Hybrid Multi-Objective Harris Hawks Optimization Algorithm [PDF]
Nowadays, mobile devices can run a wide range of programs, and they all require more and more processing power. Due to their limited resources, mobile devices often make use of cloud computing $'\text{s}$ offloading features to do more complex tasks ...
Behzad Saemi +4 more
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Optimizing adaptive neuro-fuzzy inference system model based Chaotic Harris Hawks algorithm for stock prediction [PDF]
Artificial intelligence (AI) has become increasingly prevalent in the financial sector, particularly for predicting stock market movements. Due to the efficient market hypothesis, forecasting stock prices remains a challenging task, as prices are ...
Zahraa Elsayed Mohamed +2 more
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Multi-objective Harris Hawks optimization algorithm for selecting best location and size of distributed generation in radial distribution system [PDF]
Distributed Generating Units (DGUs) are widely used in backup power, renewable energy integration, voltage regulation, and energy storage applications.
Sandeep Gogula, V․ S. Vakula
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