Results 41 to 50 of about 4,362 (249)
Discrete Dynamics in Nature and Society, 2022 Aiming at the shortcomings of the Harris hawks optimization algorithm (HHO), such as poor initial population diversity, slow convergence speed, poor local optimization ability, and easily falling into local optimum, a Harris hawks optimization algorithm (
Lei Wen +4 more
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Journal of King Saud University: Computer and Information Sciences, 2022 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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Energy Harvesting Wireless Sensor Network (Eh-Wsn) Based Modified Negatively Correlated Search Algorithm For Non-Convex Optimization Problems [PDF]
, 2021 Network resource allotment is a significant concern for designing energy harvesting wireless sensor networks (EHWSNs). So, in this manuscript, Modified Negatively Correlated Search by Harris Hawks Optimization (MNCSHHO) algorithm is proposed for EH-WSNs ...
et. al., Maddali M.V.M. Kumar,
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Design of PID Controller for Magnetic Levitation System using Harris Hawks Optimization [PDF]
, 2021 In most real-time industrial systems, optimal controller implementation is very essential to maintain the output based on the reference input. The controller design problem becomes a complex task when the real-time system model becomes greatly non-linear
Kadry, Seifedine +1 more
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Frontiers in Energy Research, 2022 Grid-connected Photo Voltaic (PV) power systems are becoming increasingly popular in several nations. The goal of achieving maximum power and acceptable power quality in a grid-connected PV power system is considered a major difficulty. Hence, this paper
Praveena A., Sathishkumar K.
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Literature Review of Harris Hawk Optimization Algorithm
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022 The Harris Hawks Optimizer is a revolutionary population-based, nature-inspired optimization methodology proposed in this paper (HHO). The cooperative behaviour and pursuit manner of Harris' hawks in nature, known as surprise pounce, is the fundamental inspiration for HHO.
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Zhejiang dianli, 2023 Aiming at the problems that the penalty factor and kernel function parameters of SVM（support vector machine） are easy to fall into the local optimal solution in the optimization process and the Harris Hawks optimization algorithm is easy to fall into the
CHEN Xiaohua +6 more
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An Efficient Hybrid Classification Approach for COVID-19 Based on Harris Hawks Optimization and Salp Swarm Optimization [PDF]
, 2022 Feature selection can be defined as one of the pre-processing steps that decreases the dimensionality of a dataset by identifying the most significant attributes while also boosting the accuracy of classification.
Ali, Yossra +2 more
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Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects [PDF]
, 2021 The restructuring of power systems and the ever-increasing demand for electricity have given rise to congestion in power networks. The use of distributed generators (DGs) may play a significant role in tackling such issues.
Chakraborty, Suprava +5 more
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The hybridized Harris hawk optimization and slime mould algorithm
Journal of Physics: Conference Series, 2020 Abstract Both the Harris hawk optimization (HHO) algorithm proposed in 2016 and the slime moud algorithm proposed recently had complicated disciplines for individuals to update their positions. And both of them were proved to be capable of finding the best solutions for either benchmark functions or real engineering problems.
Juan Zhao, Zheng-Ming Gao
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