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Model order reduction of boiler system using nature-inspired metaheuristic optimization of PID controller
Published 2025-04-01“…This study proposes a dual-stage optimization framework that integrates balanced truncation-based model order reduction with nature-inspired metaheuristic algorithms for PID controller tuning to address these issues. …”
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805
A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO
Published 2024-03-01“…In this paper, a low-complexity receiver is proposed using a Teaching-Learning based optimization (TLBO) heuristic algorithm for a large-scale system. …”
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806
Optimal Design of Short Fiber Bragg Grating Using Bat Algorithm With Adaptive Position Update
Published 2016-01-01Get full text
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807
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808
Optimal Design for an Extruder Head Runner Based on Response Surface Method and Simulated Annealing Algorithm
Published 2018-01-01“…The response surface model was optimized using the simulated annealing (SA) algorithm, and the optimal key factors of the head runner were obtained. …”
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809
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Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization
Published 2025-05-01“…The proposed technique employs Legendre polynomials to parameterize two control actions (the feeding rates of glucose and xylose), and it uses a hybrid optimization algorithm combining Monte Carlo sampling with genetic algorithms for coefficient selection. …”
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812
Improved machine classification algorithm for electric rail circuits in train warning systems
Published 2019-12-01Get full text
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813
Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis
Published 2023-06-01Get full text
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814
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816
Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments
Published 2025-03-01“…Extensive experimental validation in four different environmental scenarios (semi-enclosed, maze, chaotic, and crowded) demonstrates that MIHE-RRT outperforms RRT (rapidly exploring random tree), IBi-RRT (improved bidirectional rapidly exploring random tree), and HB-RRT (halton biased rapidly exploring random tree) algorithms. Results show significant improvements in planning efficiency (54–88% reduction in execution time), path quality (15–24% shorter paths), and computational resource utilization (77–94% reduction in nodes). …”
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A Reinforcement Learning of Cloud Resource Scheduling Algorithm Based on Adaptive Weight
Published 2021-04-01“…We considered the cloud computing resource scheduling problem,and proposed a multi-objective optimization mathematical model to optimize task completion time and running cost simultaneously. …”
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820
Exploration on the Optimal Application of Mobile Cloud Computing in Enterprise Financial Management under 5G Network Architecture
Published 2022-01-01“…In order to improve the effect of modern enterprise financial management, this paper improves the mobile cloud computing resource scheduling algorithm under the 5G network architecture. …”
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