Advances in Swarm Intelligence (eBook, PDF)

15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part II
Redaktion: Tan, Ying; Shi, Yuhui

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 452
• Erscheinungstermin: 20. August 2024
• Englisch
• ISBN-13: 9789819771844
• Artikelnr.: 72243791

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.