Results 21 to 30 of about 2,430 (215)
HHO-LPWSN: Harris Hawks Optimization Algorithm for Sensor Nodes Localization Problem in Wireless Sensor Networks [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2021 Wireless sensor network (WSN) is a prominent technology for remote area monitoring with the assimilation of the Internet of Things (IoT). Over the past decades, sensor node localization has become an essential challenge of WSNs.
Ravi Sharma, Shiva Prakash
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Harris Hawks Optimization with Multi-Strategy Search and Application [PDF]
Symmetry, 2021 The probability of the basic HHO algorithm in choosing different search methods is symmetric: about 0.5 in the interval from 0 to 1. The optimal solution from the previous iteration of the algorithm affects the current solution, the search for prey in a linear way led to a single search result, and the overall number of updates of the optimal position ...
Shangbin Jiao +4 more
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An Efficient Improved Greedy Harris Hawks Optimizer and Its Application to Feature Selection
Entropy, 2022 To overcome the lack of flexibility of Harris Hawks Optimization (HHO) in switching between exploration and exploitation, and the low efficiency of its exploitation phase, an efficient improved greedy Harris Hawks Optimizer (IGHHO) is proposed and ...
Lewang Zou, Shihua Zhou, Xiangjun Li
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Applied Sciences, 2020 In this paper, we propose an inverse optimal neural control strategy for uncertain nonlinear systems subject to external disturbances. This control strategy is developed based on a neural observer for the estimation of unmeasured states and inverse ...
Roxana Recio-Colmenares +2 more
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Hybrid Binary Grey Wolf With Harris Hawks Optimizer for Feature Selection
IEEE Access, 2021 Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation in local optima areas may still be a concern. Several significant GWO factors can be explored to enhance the performance of selection in classification, with two ...
Ranya Al-Wajih +4 more
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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 +4 more
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IEEE Access, 2022 This paper presents a new hybrid metaheuristic algorithm, the hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm (hHHO-AOA), as we have named it. It is proposed for sizing optimization and design of autonomous microgrids. The proposed hybrid
Ipek Cetinbas +2 more
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Journal of King Saud University: Computer and Information Sciences, 2023 The success of the Multi-Layer Perceptron Neural Network (MLP) relies on carefully configuring its weights and biases to promising values. The gradient descent technique is usually used to select the optimal MLP configuration.
Iyad Abu-Doush +4 more
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Parameter identification of the photovoltaic panel’s two-diode model [PDF]
, 2023 This work deals with the two-diode model of a photovoltaic (PV) panel. It provides the per-unit energy and current representations in addition to identifying its unknown parameters.
Madi, Saida, Saoudi, Kamel
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An improved hybrid Aquila Optimizer and Harris Hawks Optimization for global optimization
Mathematical Biosciences and Engineering, 2021 <abstract> <p>This paper introduces an improved hybrid Aquila Optimizer (AO) and Harris Hawks Optimization (HHO) algorithm, namely IHAOHHO, to enhance the searching performance for global optimization problems. In the IHAOHHO, valuable exploration and exploitation capabilities of AO and HHO are retained firstly, and then representative ...
Shuang Wang +3 more
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