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A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm
Published 2013-01-01Get full text
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GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction
Published 2025-01-01“…However, early predictions would seem futile without efficient scheduling, which is why the article further proposes Global and Local Optimized Preemptive Scheduling (GLOPS), an enhanced metaheuristic scheduling algorithm employing Particle Swarm Optimization and Simulated Annealing. …”
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Adhesion control research for freight trains based on an improved sliding mode extremum seeking algorithm
Published 2023-01-01Get full text
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A Review of Smart Camera Sensor Placement in Construction
Published 2024-12-01“…This comprehensive review navigates through the complexities of camera and environment models, advocating for advanced optimization techniques like genetic algorithms, greedy algorithms, Swarm Intelligence, and Markov Chain Monte Carlo to refine CSP strategies. …”
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447
Intra-Net Cognitive Radio Intelligent Utility Maximization using Adaptive PSO-Gradient Algorithm
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Research on over-the-horizon air combat guidance method based on dynamic RCS
Published 2025-04-01Get full text
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Cooperative Control and Intelligent Optimization for Air-Sea Heterogeneous Unmanned Systems
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451
Data-Driven Cooperative Localization Algorithm for Deep-Sea Landing Vehicles Under Track Slippage
Published 2025-02-01Get full text
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452
A Hybrid Discrete Grey Wolf Optimizer to Solve Weapon Target Assignment Problems
Published 2018-01-01Get full text
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453
Dynamic energy consumption monitoring and scheduling for green buildings: A comprehensive approach
Published 2025-04-01Get full text
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454
A multi-objective metaheuristic method for node placement in dynamic IoT environments
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A Pragmatic Optimization Method for Motor Train Set Assignment and Maintenance Scheduling Problem
Published 2016-01-01Get full text
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Application of deep reinforcement learning in parameter optimization and refinement of turbulence models
Published 2025-07-01“…The DDPG optimization method significantly reduced the MAE (Mean Absolute Error) and RMSE (Root Mean Square Error) of the WPC, and its optimization effect was significantly better than the GA (Genetic Algorithm) and PSO (Particle Swarm Optimization) methods.…”
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Advanced control parameter optimization in DC motors and liquid level systems
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Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm
Published 2025-01-01Get full text
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