Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling [PDF]
AutomatikaThe 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
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Software cost estimation using TabNet and Harris Hawks Optimization [PDF]
Scientific ReportsSoftware cost estimation (SCE) is among the most critical task in software development and project management, that can directly impact the budgeting, planning, and resource allocations.
Abdulaziz Alhumam
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Training Multi-Layer Perceptron Using Harris Hawks Optimization
2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2020 In this paper, Harris hawks optimization (HHO) algorithm has been proposed as an up-to-date meta-heuristic algorithm for training multi-layer perceptron (MLP). The performance of the HHO-based MLP trainer was tested by employing five standard data sets (XOR, Balloon, Iris, Breast Cancer and Heart). The results were compared with those obtained with the
Erdal Eker +3 more
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A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance. [PDF]
Sci Rep, 2023 Tu B, Wang F, Huo Y, Wang X.
europepmc +3 more sources
A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams [PDF]
Asian Journal of Civil Engineering, 2023 Mashayekhi M, Mosayyebi S.
europepmc +3 more sources
A multi-strategy framework for enhancing Harris hawks optimization for global optimization problems. [PDF]
Sci RepAl-Adwan S +6 more
europepmc +2 more sources
Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment. [PDF]
Sci Rep, 2023 Mangalampalli S +7 more
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A New Algorithm for Cancer Biomarker Gene Detection Using Harris Hawks Optimization. [PDF]
Sensors (Basel), 2022 AlMazrua H, AlShamlan H.
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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.
Livatyali, Haydar, Gezici, Harun
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The use of the biological algorithm in solving applied mechanics design problems [PDF]
Scientific Technical Review, 2021 Biologically inspired algorithms are becoming powerful in modern optimization. In this paper, the principles of a metaheuristic algorithm based on Harris hawks behavior are shown. The Harris Hawks Optimizer (HHO in short) was used for solving problems in
Milenković Branislav +1 more
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