Výsledky vyhľadávania - "2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS)"

Evolutionary Multi-Objective Neural Architecture Search for Generalized Cognitive Diagnosis Models Autor Yang, Shangshang, Zhen, Cheng, Tian, Ye, Ma, Haiping, Liu, Yuanchao, Zhang, Panpan, Zhang, Xingyi

“…Cognitive diagnosis models (CDMs) with high generalization are essential for intelligent education systems to reveal students' knowledge states in multiple…”
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Dynamic Fair Federated Learning Based on Reinforcement Learning Autor Chen, Weikang, Du, Junping, Shao, Yingxia, Wang, Jia, Zhou, Yangxi

“…Federated learning enables a collaborative training and optimization of global models among a group of devices without sharing local data samples. However, the…”
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Aspect-Based Sentiment Analysis Using Local Context Focus Mechanism with DeBERTa Autor Zhao, Tianyu, Du, Junping, Shao, Yingxia, Li, Ang

“…Text sentiment analysis, often termed as opinion mining, delves into quantifying individuals' opinions, evaluatio ns, attitudes, and emotions conveyed about…”
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Federated Graph Neural Networks with Bipartite Embedding for Multi-Objective Facility Location Autor Zheng, Zeqi, Wang, Ziqi, Yan, Xueming, Jin, Yaochu, Liu, Shiqing, Liu, Qiqi

“…Multi-objective facility location problems (MOFLPs) are widely applied in various real-life applications, and an increasing number of deep-learning approaches…”
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Relation Extraction Model Based on Semantic Enhancement Mechanism Autor Liu, PeiYu, Du, JunPing, Shao, YingXia, Guan, Zeli

“…Relational extraction is one of the basic tasks related to information extraction in natural language processing, and is an important link and core task in the…”
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Dual-State-Driven Evolutionary Optimization for Expensive Optimization Problems with Continuous and Categorical Variables Autor Xie, Lindong, Li, Genghui, Lin, Kangnian, Wang, Zhenkun

“…The surrogate-assisted evolutionary algorithm (SAEA) is one of the most efficient approaches for addressing expensive continuous or combinatorial optimization…”
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Decision-Making for Satellite Anti-Interception Missions Leveraging Multi-Agent Reinforcement Learning Autor Chen, Zixuan, Wang, Jianqi, Wang, Dan, Yu, Sheng, Huo, Jing, Gao, Yang

“…Many-to-many spacecraft autonomous evasion missions necessitate highly coordinated decision-making among several spacecraft to successfully avoid…”
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Spatial-Temporal Attention Graph WaveNet for Traffic Forecasting Autor Liu, Shixuan, Zhu, Jijun, Lei, Wei, Zhang, Ping

“…Accurately predicting road traffic conditions is critical for travel planning and efficient allocation of resources, making it a major research focus within…”
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Online Calibration of Instrument Transformers Considering the Time-Varying Impedance of Transmission Lines Autor Gao, Zihan, Zhang, Chuanji, Cheng, Cheng, He, Cheng, Li, Hongbin

“…Instrument transformers (ITs) are fundamental but crucial measurement devices that provide accurate measurements for power systems. To maintain the stability…”
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A New Expected Improvement Acquisition Function for Expensive Multi-Objective Optimization Autor Wang, Xilu, Jin, Yaochu

“…While Bayesian optimization, a popular solution to black-box optimization problems, has been extended to handle expensive multi-objective optimization problems…”
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Surrogate-Assisted Hybrid Metaheuristic for Mixed-Variable 3-D Deployment Optimization of Directional Sensor Networks Autor Zhang, Yuntian, Chen, Chen, Wu, Tongyu, Miao, Changhao, Ding, Shuxin

“…A major concern in designing sensor networks is the deployment problem. However, establishing an efficient algorithm for the real-world deployment problem is…”
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Dynamic Constrained Multi-Objective Evolutionary Optimization via Adaptive Two-Stage Archiving and Autoencoder Prediction Autor Wang, Qianhui, Ye, Yulong, Zhu, Qingling, Liu, Songbai, Lin, Qiuzhen

“…Dynamic constrained multi-objective optimization problems (DCMOPs) are characterized by time-varying objectives and constraints, requiring optimization…”
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An Empirical Study on Neural Networks Pruning: Trimming for Reducing Memory or Workload Autor Xiao, Kaiwen, Cai, Xiaodong, Xu, Ke

“…Most of existing studies on neural network pruning only consider memory-based pruning strategies. However pruning for computational workload is often more…”
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Single Machine Scheduling Problem with Multiple Preventive Maintenance Levels and Setup Times Autor Yang, Mengyue, Dong, Wenjie, Liu, Sifeng

“…Periodic preventive maintenance is often performed in many production systems to avoid sudden machine failures. In this paper, we study the single-machine…”
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Structural Balance Computation of Signed Hypergraphs via Memetic Algorithm Autor Han, Xinchu, Xu, Ruijie, Ma, Lijia, Shao, Zengyang, Bai, Yuan, Wang, Shanfeng

“…The potential imbalances among entities and connections within complex systems can pose significant threats to their overall functionality. In order to enhance…”
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Identification of Switched Gated Recurrent Neural Networks Using the EM Algorithm Autor Bai, Wentao, Gu, Suhang, Yan, Chao, Zhang, Haoyu, Jiang, Chunli, Guo, Fan

“…In the domain of nonlinear hybrid dynamic system modeling, the effectiveness of switched autoregressive exogenous (SARX) systems may face certain restrictions…”
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Ensemble Masked Autoencoder and Gaussian Mixture Models for Cardinality Estimation Autor Chen, Yimeng, Jia, Devin, Lei, Ying, Li, Bo

“…In recent years, deep learning models have been employed for cardinality estimation in databases. These models can be categorized into query-driven and…”
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An Unconstrained Auxiliary Framework for Constrained Many-Objective Optimization Autor Qiao, Kangjia, Liang, Jing, Bi, Ying, Yu, Kunjie, Yue, Caitong, Qu, Boyang

“…Constrained many-objective optimization problems (CMaOPs) include the optimization of many objective functions and satisfaction of constraints, which seriously…”
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AGF-Net: Adaptive Road Extraction Network with Global Feature Fusion Autor Zhang, Yajuan, Zhang, Lan, Niu, PengHui, Xu, Wenjia

“…Remote sensing image road extraction is of great significance for vehicle navigation and emergency insurance. However, due to the limited presence of roads in…”
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Q-Learning Based Adaptive Flow Control Autor Zhang, Xiaoping, Wang, Yunlan, Zhao, Tianhai, Hu, Shuai, Zhang, Hui

“…With the rapid development of the internet and the expansion of its application scale, the volatility and complexity of network flow in highly concurrent…”
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