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Maneuver Strategy for Active Spacecraft to Avoid Space Debris and Return to the Original Orbit
Published 2022-01-01Get full text
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2362
A novel software-defined networking controlled vehicular named-data networking for trustworthy emergency data dissemination and content retrieval assisted by evolved interest packe...
Published 2020-03-01“…Hybrid algorithm combines cuckoo search and particle swarm optimization algorithm to perform efficient route selection. …”
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2363
Temperature Compensation Method for MEMS Ring Gyroscope Based on PSO-TVFEMD-SE-TFPF and FTTA-LSTM
Published 2025-04-01Get full text
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2364
A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining
Published 2024-12-01Get full text
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Prediction and evaluation of residual life of casing with corrosion defects
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2368
Acoustic Signal Aided Detection Method of Spiral Bevel Gears Based on PSO-MCKD
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2369
Performance evaluation of an adopted model based on big-bang big-crunch and artificial neural network for cloud applications
Published 2021-08-01“…The proposed model is inspired from Big-Bang Big-Crunch algorithm in astrology. The work has been compared with a genetic algorithm, Particle swarm optimization and TOPSIS algorithm. …”
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Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet
Published 2023-01-01Get full text
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Ecological and Real-Time Route Selection Method for Multiple Vehicles in Urban Road Network
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Prediction of Drifter Trajectory Using Evolutionary Computation
Published 2018-01-01Get full text
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Maximum Energy Absorbed from the Persian Gulf Waves Considering Uncertainty in Power Take off Parameters
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A Methodology for Situation Assessing of Space-Based Information Networks
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Online Prediction of Milling Inner Hole Roundness Error Based on Accurate SSEM Value Extraction
Published 2019-01-01Get full text
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Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems
Published 2017-09-01“…Second, the robustness-aware collaborative mesh networking problem is formulated with a multi-objective optimization model, and an improved multi-objective particle swarm optimization algorithm based on self-adaptive evolutionary learning is exploited to search out the Pareto optimal particles with better distribution and diversity. …”
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