Results 31 to 40 of about 1,795 (171)
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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IEEE Access, 2020 In this paper, an efficient optimization technique called Chaotic Harris Hawks optimization (CHHO) is proposed and applied for estimating the accurate operating parameters of proton exchange membrane fuel cell (PEMFC), which simulate and mimic its ...
Ahmed S. Menesy +4 more
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Cooperative multi-population Harris Hawks optimization for many-objective optimization [PDF]
Complex & Intelligent Systems, 2022 AbstractThis paper presents an efficient cooperative multi-populations swarm intelligence algorithm based on the Harris Hawks optimization (HHO) algorithm, named CMPMO-HHO, to solve multi-/many-objective optimization problems. Specifically, this paper firstly proposes a novel cooperative multi-populations framework with dual elite selection named CMPMO/
Na Yang +4 more
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Fault Detection for Pitch System of Wind Turbine-Driven Doubly Fed Based on IHHO-LightGBM
Applied Sciences, 2021 To address the issue of a large calculation and difficult optimization for the traditional fault detection of a wind turbine-based pitch control system, a fault detection model, based on LightGBM by the improved Harris Hawks optimization algorithm (light
Mingzhu Tang, Zhonghui Peng, Huawei Wu
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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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IEEE Access, 2020 In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution ...
Ali Selim +3 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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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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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 +5 more
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