Advances in Swarm Intelligence [electronic resource] : 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part II / edited by Ying Tan, Yuhui Shi.

-- 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.

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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