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321
Optimization of Fuzzy Control for Magnetorheological Damping Structures
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323
A Review on Path Planning and Obstacle Avoidance Algorithms for Autonomous Mobile Robots
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324
Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation
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325
Enhancing network lifetime in WSNs through coot algorithm-based energy management model
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326
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Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm
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328
Design of Fully Digital Controlled Shaped Beam Synthesis Using Differential Evolution Algorithm
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329
High Precision and Fast Inversion of Array Lateral Logging Based on BAS-LM Algorithm
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330
Optimization for Si Nano-Pillar-Based Broadband Achromatic Metalens
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331
Analysis and Optimization of Interpolation Points for Quadruped Robots Joint Trajectory
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335
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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336
A model for placing electric vehicle charging stations in megapolis based on the sparrow search algorithm
Published 2024-11-01“…From the verification results, it can be seen that compared with the traditional genetic algorithm, particle swarm algorithm and other address selection methods, the algorithm proposed in this paper is more optimized, which helps to improve the validity of choosing the address of the electric vehicle charging station and can be widely distributed.…”
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337
Concentric Circular Antenna Array Synthesis Using Biogeography Based Optimization
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO
Published 2025-05-01Get full text
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340
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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