15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part II Herausgegeben:Tan, Ying; Shi, Yuhui
15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part II Herausgegeben:Tan, Ying; Shi, Yuhui
This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23-26, 2024. The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections: Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective…mehr
This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23-26, 2024.
The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:
Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization.
Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review.
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Inhaltsangabe
.- Route Planning Problem. .- Solving the Traveling Salesman Problem for Efficient Route Planning through Swarm Intelligence Based Optimization. .- An Improved Genetic Algorithm for Vehicle Routing Problem with Time Window Requirements. .- Automated Planning and Scheduling with Swarm Intelligence. .- Grouping and Angle Partitioning-Based Coverage Path Planning for Swarm Robots Using Only Local Communication. .- A Hyper-heuristic Algorithm Based on Q-learning for 3D Drone Trajectory Planning. .- Machine Learning. .- Robust Heterogeneous Federated Learning via Data-Free Knowledge Amalgamation. .- Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-wise Clustering and MC-Hash Structure. .- Multiple Machine Learning Methods with Correlation Analysis for Short-term River Water Quality Prediction. .- FGFL: Fine-Grained Federated Learning based on Neural Architecture Search for Heterogeneous Clients. .- Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation. .- IS-SQL: Knowledge-Enhanced In-Context Learning and Self Correction of Text-to-SQL. .- Research on the Operation Strategy of S Internet Hospital Based on Business Intelligence. .- Complex Network-based Decision-making Analysis of Strikes on Important Nodes of a Typical Kill Chain. .- Pixel Importance-based Transfer Adversarial Attack. .- Data-Driven Intervention Strategies for Mitigating Illegal Wildlife Trade: A Case Study of the United States. .- Detection and Prediction. .- Lung Nodule Detection Based on Spike-driven Self-attention YOLO. .- Unsupervised Microservice Log Anomaly Detection Method Based on Graph Neural Network. .- Deep Learning-based Customer Lifetime Value Prediction in Imbalanced Data Scenarios: A Case Study. .- Improving the Accuracy of Predictive Models in Imbalanced Lung Cancer Data. .- Classification. .- Multimodal Imaging Classification Based on Mixture Model Networks. .- Confidence-guided online knowledge distillation for semi-supervised medical image classification. .- Research on classification method of construction laws and regulations data. .- Identity Authentication Methods Based on User Profiling. .- Automatic Hyperspectral Image Clustering using Qutrit Differential Evolution. .- Comparative Evaluation of Classification Techniques for Predicting Risk and Recurrence of Thyroid Disorders. .- Edge Computing. .- Hierarchical Diffusion Teaching-learning-based Optimizer with Variational Autoencoder for Mobile Edge Computing System Optimization. .- ESEC: A New Edge Server Selection Algorithm under Muiti-access Edge Computing. .- Edge Dynamic Service Offloading Based on Multi-Agent Deep Q Learning. .- Modeling and Optimization. .- New Design Algorithm: Interactive-Generative Product Design for Shape Generation and Optimization. .- Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation. .- Research on the basic combat round model of over-the-horizon air combat. .- An Offline Modeling Approach to Air Combat Maneuvering Policy. .- Neural Network Algorithm for Solving Nonlinear Equation Systems. .- Heart Failure Mortality Prediction: A Comparative Study of Predictive Modeling Approaches. .- Analysis of Review. .- Convolutional Neural Networks in Medical Imaging: A Review. .- A review of the analysis and evaluation of air combat situation and decision-making methods. .- Analyzing the Online Reviews to Explore Recent Trends of the U.S. Automotive Industry by Latent Dirichlet Allocation Method.
.- Route Planning Problem. .- Solving the Traveling Salesman Problem for Efficient Route Planning through Swarm Intelligence Based Optimization. .- An Improved Genetic Algorithm for Vehicle Routing Problem with Time Window Requirements. .- Automated Planning and Scheduling with Swarm Intelligence. .- Grouping and Angle Partitioning-Based Coverage Path Planning for Swarm Robots Using Only Local Communication. .- A Hyper-heuristic Algorithm Based on Q-learning for 3D Drone Trajectory Planning. .- Machine Learning. .- Robust Heterogeneous Federated Learning via Data-Free Knowledge Amalgamation. .- Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-wise Clustering and MC-Hash Structure. .- Multiple Machine Learning Methods with Correlation Analysis for Short-term River Water Quality Prediction. .- FGFL: Fine-Grained Federated Learning based on Neural Architecture Search for Heterogeneous Clients. .- Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation. .- IS-SQL: Knowledge-Enhanced In-Context Learning and Self Correction of Text-to-SQL. .- Research on the Operation Strategy of S Internet Hospital Based on Business Intelligence. .- Complex Network-based Decision-making Analysis of Strikes on Important Nodes of a Typical Kill Chain. .- Pixel Importance-based Transfer Adversarial Attack. .- Data-Driven Intervention Strategies for Mitigating Illegal Wildlife Trade: A Case Study of the United States. .- Detection and Prediction. .- Lung Nodule Detection Based on Spike-driven Self-attention YOLO. .- Unsupervised Microservice Log Anomaly Detection Method Based on Graph Neural Network. .- Deep Learning-based Customer Lifetime Value Prediction in Imbalanced Data Scenarios: A Case Study. .- Improving the Accuracy of Predictive Models in Imbalanced Lung Cancer Data. .- Classification. .- Multimodal Imaging Classification Based on Mixture Model Networks. .- Confidence-guided online knowledge distillation for semi-supervised medical image classification. .- Research on classification method of construction laws and regulations data. .- Identity Authentication Methods Based on User Profiling. .- Automatic Hyperspectral Image Clustering using Qutrit Differential Evolution. .- Comparative Evaluation of Classification Techniques for Predicting Risk and Recurrence of Thyroid Disorders. .- Edge Computing. .- Hierarchical Diffusion Teaching-learning-based Optimizer with Variational Autoencoder for Mobile Edge Computing System Optimization. .- ESEC: A New Edge Server Selection Algorithm under Muiti-access Edge Computing. .- Edge Dynamic Service Offloading Based on Multi-Agent Deep Q Learning. .- Modeling and Optimization. .- New Design Algorithm: Interactive-Generative Product Design for Shape Generation and Optimization. .- Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation. .- Research on the basic combat round model of over-the-horizon air combat. .- An Offline Modeling Approach to Air Combat Maneuvering Policy. .- Neural Network Algorithm for Solving Nonlinear Equation Systems. .- Heart Failure Mortality Prediction: A Comparative Study of Predictive Modeling Approaches. .- Analysis of Review. .- Convolutional Neural Networks in Medical Imaging: A Review. .- A review of the analysis and evaluation of air combat situation and decision-making methods. .- Analyzing the Online Reviews to Explore Recent Trends of the U.S. Automotive Industry by Latent Dirichlet Allocation Method.
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