Results 11 to 20 of about 251,193 (292)
An analysis of the inertia weight parameter for binary particle swarm optimization [PDF]
IEEE Transactions on Evolutionary Computation, 2016 In particle swarm optimization, the inertia weight is an important parameter for controlling its search capability. There have been intensive studies of the inertia weight in continuous optimization, but little attention has been paid to the binary case.
Li, X, Liu, J, Mei, Y
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Energies, 2021 The efficiency of PV systems can be improved by accurate estimation of PV parameters. Parameter estimation of PV cells and modules is a challenging task as it requires accurate operation of PV cells and modules followed by an optimization tool that ...
Arooj Tariq Kiani +6 more
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Informatics, 2019 Feature selection is a task of choosing the best combination of potential features that best describes the target concept during a classification process.
Jingwei Too +2 more
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Entropy, 2021 Setting sights on the problem of input-output constraints in most industrial systems, an implicit generalized predictive control algorithm based on an improved particle swarm optimization algorithm (PSO) is presented in this paper. PSO has the advantages
Jinfang Zhang +3 more
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Algorithms, 2022 A comfortable indoor environment contributes to a better quality of life and wellbeing for its occupants. The indoor temperature, lighting, and air quality are the main controlling factors of user comfort levels.
Farah Nur Arina Baharudin +4 more
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Applied Sciences, 2022 Determining a reasonable main cable curve is the foundation of suspension bridge design, and the accuracy and efficiency of the curve-finding problem are key to the design of a suspension bridge.
Zhaolan Wei +6 more
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Independent effects of adding weight and inertia on balance during quiet standing
BioMedical Engineering OnLine, 2012 Background Human balance during quiet standing is influenced by adding mass to the body with a backpack, with symmetrically-applied loads to the trunk, or with obesity.
Costello Kerry +2 more
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Social inertia in collaboration networks [PDF]
, 2005 This work is a study of the properties of collaboration networks employing the formalism of weighted graphs to represent their one-mode projection. The weight of the edges is directly the number of times that a partnership has been repeated.
C. M. Chen +6 more
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Improved Grey Wolf Optimization Algorithm Based on Hyperbolic Tangent Inertia Weight
IEEE Access, 2023 The Grey Wolf Optimization Algorithm (GWO) replicates the leadership and foraging mechanisms of the natural grey wolf and excels in solving problems in a variety of domains.
Weiming Lin
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AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
Sensors, 2022 Cloud computing has emerged as the most favorable computing platform for researchers and industry. The load balanced task scheduling has emerged as an important and challenging research problem in the Cloud computing.
Said Nabi +3 more
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