Results 51 to 60 of about 29,939 (156)
Water Science and Engineering, 2020 Based on conventional particle swarm optimization (PSO), this paper presents an efficient and reliable heuristic approach using PSO with an adaptive random inertia weight (ARIW) strategy, referred to as the ARIW-PSO algorithm, to build a multi-objective ...
Hai-tao Chen +3 more
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Particle Convergence Time in the PSO Model with Inertia Weight
Proceedings of the 7th International Joint Conference on Computational Intelligence, 2015 Particle Swarm Optimization (PSO) is a powerful heuristic optimization method being subject of continuous interest. Theoretical analysis of its properties concerns primarily the conditions necessary for guaranteeing its convergent behaviour. Particle behaviour depends on three groups of parameters: values of factors in a velocity update rule, initial ...
Krzysztof Trojanowski, Tomasz Kulpa
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On the positive and negative inertia of weighted graphs
, 2013 12.
Li, Shuchao, Song, Feifei
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Midspan Deflection Prediction of Long-Span Cable-Stayed Bridge Based on DIWPSO-SVM Algorithm
Applied SciencesWith the increasing emphasis on the safety and longevity of large-span cable-stayed bridges, the accurate prediction of midspan deflection has become a critical aspect of structural health monitoring (SHM).
Lilin Li +3 more
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Modified Particle Swarm Optimization using Nonlinear Decreased Inertia Weight
Emitter: International Journal of Engineering Technology, 2016 Particle Swarm Optimization (PSO) has demonstrated great performance in various optimization problems. However, PSO has weaknesses, namely premature convergence and easy to get stuck or fall into local optima for complex multimodal problems.
Alrijadjis . +3 more
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Horizontal Bending Angle Optimization Method for Scraper Conveyor Based on Improved Bat Algorithm
Algorithms, 2019 The horizontal bending angle of scraper conveyor has a great influence on the running resistance, the current consumption, coal winning efficiency of the working surface, etc. Approximately 1–3° is usually the range of horizontal bending angle,
Ting Liu +5 more
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EnergiesRegional power grid load has strong periodicity and randomness, and its load characteristics are affected by many factors. Traditional short-term power load-forecasting methods have certain limitations in accuracy and stability, especially when dealing ...
Bo Li +4 more
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A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters. [PDF]
Entropy (Basel), 2023 Wang J, Wang X, Li X, Yi J.
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UCPSO: A Uniform Initialized Particle Swarm Optimization Algorithm with Cosine Inertia Weight. [PDF]
Comput Intell Neurosci, 2021 Zhang J, Sheng J, Lu J, Shen L.
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International Journal of Technology, 2017 In this study, a method was developed for tuning moments of inertia for a free-flying dynamically similar/scaled model of an aircraft. For this method, the simulated annealing optimization algorithm was used to obtain similar mass-inertial properties of ...
Ali Shakoori +3 more
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