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1721
Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches
Published 2024-01-01“…In this case, optimising the efficiency of the motor, reducing cogging torque, and minimising the total weight of active materials are defined as possible objective functions. Genetic algorithms are nature based algorithms that are commonly used in engineering to find optimal solutions to complex problems, including those with multiple objectives. …”
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1722
Decentralized Multi-Robot Navigation Based on Deep Reinforcement Learning and Trajectory Optimization
Published 2025-06-01“…Additionally, it introduces safety constraints through an artificial potential field (APF) to optimize these trajectories. Additionally, a constrained nonlinear optimization method further refines the APF-adjusted paths, resulting in the development of the GNN-RL-APF-Lagrangian algorithm. …”
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1723
Mining Spatiotemporal Mobility Patterns Using Improved Deep Time Series Clustering
Published 2024-10-01“…Mining spatiotemporal mobility patterns is crucial for optimizing urban planning, enhancing transportation systems, and improving public safety by providing useful insights into human movement and behavior over space and time. …”
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1724
Improving Efficiency of Rolling Mill Stand Electric Drives Through Load Alignment
Published 2025-06-01Get full text
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1725
Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting
Published 2025-01-01“…The hyperparameters of the model are optimized using the Bayesian optimization algorithm to obtain the best performance. …”
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1726
Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network
Published 2020-01-01“…In order to eliminate the defect of experience value, the key parameter of PNN was optimized by the improved (SGA) single-target optimization genetic algorithm, which made PNN achieve a higher rate of recognition accuracy than PNN optimized by standard genetic algorithm. …”
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1727
Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration
Published 2025-07-01“…XGBoost achieved optimal performance with highest $$\text {AUC}$$ (0.956, 95% $$\text {CI}$$ : 0.952–0.961) and competitive clinical cost (5,496), representing 2.8% improvement over Random Forest. …”
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1728
Solving the Traveling Salesman Problem Based on The Genetic Reactive Bone Route Algorithm whit Ant Colony System
Published 2016-07-01“…The TSP is considered one of the most well-known combinatorial optimization tasks and researchers have paid so much attention to the TSP for many years. …”
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1729
Capacity planning for wind, solar, thermal and energy storage in power generation systems considering coupled electricity‐carbon markets
Published 2024-12-01“…The model employs a bi‐level optimization method based on the Improved Coati Optimization Algorithm (ICOA) to optimize the system's capacity planning. …”
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1730
Individualized post‐operative prediction of cochlear implantation outcomes in children with prelingual deafness using functional near‐infrared spectroscopy
Published 2024-12-01“…Both classification and individualized regression models were constructed to predict post‐CI behavioral improvement from fNIRS data using support vector machine (SVM) learning algorithms. …”
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1731
An integrated vehicle routing model to optimize agricultural products distribution in retail chains
Published 2024-03-01“…Numerical experiments showcase the efficiency of the proposed algorithm in solving real-world VRP problems. Moreover, the proposed VRP model achieves a 19% reduction in daily distribution costs, including a 24% saving in fuel costs. …”
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1732
Capacity Optimization Configuration of a Bidirectional Reversible Centralized Electrohydrogen Coupling System
Published 2024-08-01“…The solution is solved by combining particle swarm optimization algorithm and CPLEX solver. Finally, through case analysis, it was verified that the addition of RSOC improved the system's economic and environmental benefits. …”
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1733
An Optimization Method for Condition Based Maintenance of Aircraft Fleet Considering Prognostics Uncertainty
Published 2014-01-01“…Further, an optimization method for fleet dispatch and CBM under acceptable risk is proposed based on an improved genetic algorithm. …”
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1734
Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge
Published 2025-04-01“…This approach increases biocrude yields, improves product quality, and reduces the cost of biomass HTL technology, thus facilitating industrial-scale application. …”
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1735
Study on Optimal Decision of Unit Commitment with Flexible Reserve Participation in Power Grid
Published 2023-06-01“…Secondly, a unit combination model considering the flexible reserve is established with the objective function of minimizing the total operating cost of the system, and the optimization algorithm program is written in the Lingo environment to optimize a variety of reserve resources. …”
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1736
Clean energy supply chain optimization: Steady-state natural gas transportation
Published 2025-06-01“…The objective is to minimize pipeline transportation costs and energy consumption, achieving optimization of the steady-state operation of the natural gas pipeline system. …”
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1737
Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization
Published 2025-06-01Get full text
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1738
Optimal Sizing of Isolated Microgrid Containing Photovoltaic/Photothermal/Wind/Diesel/Battery
Published 2021-01-01“…The three-objective sizing optimization model was solved by the improved multiobjective grey wolf optimization algorithm. …”
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1739
Numerical Investigation and Optimization of Transpiration Cooling Plate Structures with Combined Particle Diameter
Published 2025-06-01“…Further optimization with the multi-objective genetic algorithm (MOGA) determines the optimal structural parameters. …”
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1740
Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving
Published 2014-01-01“…It firstly employs the general regression neural network (GRNN) algorithm to obtain the best model of the beam pumping system, and secondly searches the optimal operation parameters with improved strength Pareto evolutionary algorithm (SPEA2). …”
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