Suchergebnisse - "sequential model-based algorithm configuration"

MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration von Rook, Jeroen G, Benjamins, Carolin, Bossek, Jakob, Trautmann, Heike, Hoos, Holger H, Lindauer, Marius

“… Automated algorithm configuration aims at finding well-performing parameter configurations for a given problem, and it has proven to be effective within many …”
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Petroleum Reservoir Control Optimization with the Use of the Auto-Adaptive Decision Trees von Kuk, Edyta, Stopa, Jerzy, Kuk, Michał, Janiga, Damian, Wojnarowski, Paweł

“… The global increase in energy demand and the decreasing number of newly discovered hydrocarbon reservoirs caused by the relatively low oil price means that it …”
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Optimal Well Control Based on Auto-Adaptive Decision Tree—Maximizing Energy Efficiency in High-Nitrogen Underground Gas Storage von Kuk, Edyta, Stopa, Jerzy, Kuk, Michał, Janiga, Damian, Wojnarowski, Paweł

“… To move the world toward a more sustainable energy future, it is crucial to use the limited hydrocarbon geological resources efficiently and to develop …”
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Improving the computational efficiency of stochastic programs using automated algorithm configuration: an application to decentralized energy systems von Schwarz, Hannes, Kotthoff, Lars, Hoos, Holger, Fichtner, Wolf, Bertsch, Valentin

“… The optimization of decentralized energy systems is an important practical problem that can be modeled using stochastic programs and solved via their …”
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Automatic parameter configuration for an elite solution hyper-heuristic applied to the Multidimensional Knapsack Problem von Urra, Enrique, Cubillos, Claudio, Cabrera-Paniagua, Daniel, Lefranc, Gaston

“… Hyper-heuristics are methods for problem solving that decouple the search mechanisms from the domain features, providing a reusable approach across different …”
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Electrode informatics accelerated the optimization of key catalyst layer parameters in direct methanol fuel cells von Ban, Lishou, Huang, Danyang, Liu, Yanyi, Liu, Pengcheng, Bian, Xihui, Wang, Kaili, Liu, Yifan, Liu, Xijun, He, Jia

“… As the core component of direct methanol fuel cells, the catalyst layer plays the key role as a species, proton and electron transport channel. However, due to …”
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Enhancing state of charge and state of energy estimation in Lithium-ion batteries based on a TimesNet model with Gaussian data augmentation and error correction von Zhang, Chu, Zhang, Yue, Li, Zhengbo, Zhang, Zhao, Nazir, Muhammad Shahzad, Peng, Tian

“… ), and an improved Bayesian algorithm called Sequential Model-based Algorithm Configuration (SMAC) for SOC and SOE estimation in lithium-ion batteries …”
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SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning von Sun, Yicheng, Keung, Jacky Wai, Yang, Zhen, Liu, Shuo, Liao, Yihan

“… This paper presents SemiSMAC, a novel semi-supervised framework that leverages the Large Language Model for log parsing and grouping, combined with Sequential Model-based Algorithm Configuration (SMAC …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia von Alsulami, Badr T., Khattak, Afaq

“… Construction Accidents (CA) remain a major concern for occupational safety, especially within high-risk environments such as those found across the expanding …”
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Pruning SMAC search space based on key hyperparameters von Li, Hui, Liang, Qingqing, Chen, Mei, Dai, Zhenyu, Li, Huanjun, Zhu, Ming

“… Summary Machine learning (ML) has been widely applied in many areas in recent decades. However, because of its inherent complexity and characteristics, the …”
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A Study on Autonomous Intersection Management: Planning-Based Strategy Improved by Convolutional Neural Network von Zhang, Jian, Jiang, Xia, Liu, Ziyi, Zheng, Liang, Ran, Bin

“… The development and application of autonomous vehicles bring great changes to urban traffic management and control. As one of the bottlenecks to improve …”
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Two-Level Battery Health Diagnosis Using Encoder-Decoder Framework and Gaussian Mixture Ensemble Learning Based on Relaxation Voltage von Xiang, Haoxiang, Wang, Yujie, Zhang, Xingchen, Chen, Zonghai

“… Accurate diagnosis of the state-of-health (SOH) of the lithium-ion battery is crucial for its safe and reliable operation. In this article, a two-level battery …”
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Unbalanced budget distribution for automatic algorithm configuration von Ghambari, Soheila, Rakhshani, Hojjat, Lepagnot, Julien, Jourdan, Laetitia, Idoumghar, Lhassane

“… Optimization algorithms often have several critical setting parameters and the improvement of the empirical performance of these algorithms depends on tuning …”
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A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models von Agriesti, Serio, Kuzmanovski, Vladimir, Hollmen, Jaakko, Roncoli, Claudio, Nahmias-Biran, Bat-Hen

“… Addressing complexity in transportation in cases such as disruptive trends or disaggregated management strategies has become increasingly important. This in …”
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Semiconductor Manufacturing Final Test Yield Optimization and Wafer Acceptance Test Parameter Inverse Design Using Multi-Objective Optimization Algorithms von Jiang, Dan, Lin, Weihua, Raghavan, Nagarajan

“… In the semiconductor industry, many previous optimization studies have been carried out at the integrated circuit front-end design phase to identify optimal …”
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A Comparative study of Hyper-Parameter Optimization Tools von Shekhar, Shashank, Bansode, Adesh, Salim, Asif

“… Most of the machine learning models have associated hyper-parameters along with their parameters. While the algorithm gives the solution for parameters, its …”
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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis von WEN, Long, WANG, You, LI, Xinyu

“… Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis. However, the tuning aiming at obtaining the well-trained CNN model …”
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On the Performance of Differential Evolution for Hyperparameter Tuning von Schmidt, Mischa, Safarani, Shahd, Gastinger, Julia, Jacobs, Tobias, Nicolas, Sebastien, Schulke, Anett

“… -based Algorithm Configuration (SMAC), a reference Bayesian Optimization approach. The results indicate that Differential Evolution outperforms SMAC for most datasets …”
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SMAC-tuned Deep Q-learning for Ramp Metering von ElSamadisy, Omar, Abdulhai, Yazeed, Xue, Haoyuan, Smirnov, Ilia, Khalil, Elias B., Abdulhai, Baher

“… In this paper, the Sequential Model-based Algorithm Configuration (SMAC) method is used to fine-tune the values of two essential hyperparameters for the deep reinforcement …”
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