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1301
Qualitative Simulation Algorithm for Resource Scheduling in Enterprise Management Cloud Mode
Published 2021-01-01“…Aiming at the problem of resource scheduling optimization in enterprise management cloud mode, a customizable fuzzy clustering cloud resource scheduling algorithm based on trust sensitivity is proposed. …”
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1302
Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems
Published 2024-10-01Get full text
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1303
Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
Published 2024-12-01“…Aiming at the current stage of inverse kinematics solving methods for multi-degree-of-freedom manipulators, most of which have the problems of low solving accuracy and poor generalization, an artificial evolved hummingbird algorithm (AEHA) was proposed for inverse kinematics solving of manipulators. …”
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1304
Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps
Published 2024-11-01“…In terms of the improvement of the heuristic function, this study adopted the diagonal distance as the benchmark for cost estimation, and it innovatively introduces the angle coefficient to reflect the complexity of path turning, thus providing the algorithm with a more accurate guidance for the search direction. …”
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1305
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1306
Assessing and Reducing Energy Consumption of Grain Cleaning and Drying Equipment
Published 2019-12-01“…(Conclusions) The paper provides the offered criteria and a developed algorithm for energy-saving optimization of grain drying equipment, which reduces the direct energy consumption of production lines and energy costs. …”
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1307
An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization
Published 2025-07-01Get full text
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1308
Optimization of Hybrid Laminates with Extension-Shear Coupling
Published 2018-01-01“…The extension-shear-coupled effect of hybrid laminates is optimized with improved differential evolution algorithm. …”
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1309
A Novel SPGD Algorithm for Wavefront Sensorless Adaptive Optics System
Published 2023-01-01“…Stochastic parallel gradient descent (SPGD) is the most frequently used optimization algorithm for correcting wavefront distortion in the wavefront sensorless adaptive optics(WFS-Less AO)system. …”
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1310
A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm
Published 2010-01-01“…This paper presents an extended ABC algorithm, namely, the Cooperative Article Bee Colony (CABC), which significantly improves the original ABC in solving complex optimization problems. …”
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1311
Adjacency List Algorithm for Traffic Light Control Systems in Urban Networks
Published 2024-12-01“…An adjacency list is more efficient than matrices in terms of space and computational cost, allowing for the identification of critical signals before applying advanced optimization techniques such as neural networks or hypergraphs. …”
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1312
Revocation encryption scheme based on domestic cryptographic algorithm SM9
Published 2025-05-01“…To address the limitations of lengthy system public keys and inefficient decryption in existing identity-based revocation encryption schemes, an optimized revocation encryption scheme was proposed based on SM9, China’s independently developed identity-based cryptographic algorithm. …”
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1313
Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding
Published 2023-01-01“…Compared with the High Efficiency Video Coding (HEVC/H.265), owing to the introduction of the Quad-tree with Nested Multi-type Tree (QTMT) division mode, the encoder can choose a more detailed division type when dividing the Coding unit (CU), thereby improving the coding performance. However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. …”
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1314
Supply Chains Problem During Crises: A Data-Driven Approach
Published 2024-12-01“…Results demonstrate significant improvements in cost reduction, resource allocation, and service levels, highlighting the model’s practical applicability in real-world scenarios. …”
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1315
A Defect Detection Algorithm for Optoelectronic Detectors Utilizing GLV-YOLO
Published 2025-02-01“…The experimental results showed that the proposed algorithm achieved 98.9% accuracy, with 2.1 million parameters and a computational cost of 7.0 GFLOPs. …”
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1316
Optimal Management in the Operation of Complex Technical Systems
Published 2024-06-01“…Additionally, proof of the existence of an optimal verification strategy was given. An algorithm for determining the moments of verification was developed to ensure the minimum cost. …”
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1317
Metaheuristics in Logistics: Increasing the Efficiency of Algorithms by Defining Appropriate Parameter Settings
Published 2024-12-01“…In many cases, when applying a metaheuristic, it works properly with the variables of a given task and there is no specific interval where a given algorithm can still be effective. To increase efficiency and reduce costs, the authors defined a general parameter definition by applying the Ant Colony Optimization algorithm applicable to the simple Traveling Salesman Problem with the number of cities n=50, where for values of 30 = n = 50, the defined parameter setting structure can be properly applied based on the results. …”
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1318
A BIT* algorithm with dilated vertices-based path stretching strategy
Published 2025-09-01“…In addition, DS-BIT* performs bidirectional improvement of the final path at the end of the algorithm, further reducing the final path cost. …”
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1319
Python-Based Visual Classification Algorithm for Economic Text Big Data
Published 2022-01-01“…In order to improve the classification accuracy and reduce the classification time of the economic text big data visualization classification algorithm, one based on the Pitton algorithm is proposed. …”
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1320
A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap
Published 2024-07-01“…Therefore, using 8~10 outer points to supervise model learning in the first 10 rounds yields the most significant improvements. When noise is introduced early in the curve fitting input, recognition accuracy improves, with optimal noise disturbance intensity at approximately 0.08. …”
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