Advances in Swarm Intelligence

16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11-15, 2025, Proceedings, Part II
Herausgegeben:Tan, Ying; Shi, Yuhui

• Broschiertes Buch

Produktbeschreibung

This two-volume set LNCS 16011 and 16012 constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Swarm Intelligence, ICSI 2025, held in Yokohama, Japan, during July 11-15, 2025.

The 54 revised full papers presented in these proceedings were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Particle Swarm Optimization; Swarm Optimization Algorithms; Swarm of Large Language Models; Agent and Multi-agents; Vehicle Routing; Multiobjective Optimization; Approaches for Classification and Feature Selection; Prediction and Detection Algorithms; Machine Learning.

Produktdetails

• Lecture Notes in Computer Science 16012
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 89574549, 978-981-95-0984-3
• Seitenzahl: 344
• Erscheinungstermin: 2. Oktober 2025
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 523g
• ISBN-13: 9789819509843
• ISBN-10: 981950984X
• Artikelnr.: 74820953

Inhaltsangabe

.- Multiobjective Optimization.

.- Enhanced Multi-objective Particle Swarm Optimization Algorithms.

.- Evolutionary Multiobjective Optimization of Mixed Neural Network
Controllers for Hexapod Robot Locomotion Control.

.- Entropy-Informed Stochastic Improvement for Indicator-Based
Multiobjective Optimization.

.- LA-NSGA-II: A Multi-Objective Evolutionary Approach for Patient
Referral Optimization in Integrated Healthcare Networks.

.- Constrained Multimodal Multi-objective Optimization Algorithm
Based on Improved PPS Framework.

.- A Constrained Multi-Objective Differential Evolution Algorithm Based
on Evolutionary Multi-Task Optimization.

.- Approaches for Classification and Feature Selection.

.- Comparative Analysis of Segmentation and Classification Models of
Retinopathies in Ophthalmological Images.

.- Integration of Magnetic Resonance Imaging and Neuropsychological
Data for Automated Parkinson s Diagnosis.

.- Integrating Multi-modal Contrastive Learning and Multi-scale Feature
Extractor for Liver Cancer Classification.

.- Optimization of Classification Models for Heart Disease: Comparison
between Feature Selection and Dimensionality Reduction Techniques.

.- Enhanced Differential Evolution-Based Multi-modal Feature Selection
in Power Equipment Defect Detection.

.- Multi-Strategy Improved Pelican Optimization Algorithm for Solving
Minimal Attribute Reduction Problem.

.- Prediction and Detection Algorithms.

.- An Efficient Neural Network-based Mathematical Modelling for Iron
Ore Quality Prediction.

.- How Data Missing Affects Stability of Feature Selection: An Empirical
Study.

.- Research on Sound Source Identification Method for Beach Search and
Rescue Based on Convolutional Neural Network.

.- A Mutual Information-based Adaptive Large Neighborhood Search
for Solving Inventory-constrained Cigarette Formulation Maintenance
Problem.

.- Ingredient Detection from Low-Quality Images of Food Labels.

.- From Single-tasking Swarming to Multi-tasking Heterogeneous
Swarming for Solving Non-uniform Area Coverage Problems.

.- A Lightweight YOLOv11-based Model with Small Object Enhance
Pyramid for Underwater Object Detection in Aerial Imagery.

.- Machine Learning.

.- Dual-Path Optimization for Open-World Test Time Training.

.- Distributed Geometric Control of Underactuated UAVs for Cooperative
Transportation.

.- Design and Implementation of Risk Control Model and Scenario
Adaptation Method Based on Graph Machine Learning.

.- Incremental Update Strategy for Continuous Action Iterated
Hierarchical Dilemma.

.- Modeling of Parent-Child Interaction through Facial Expressions for
Childcare Support Systems.

.- Fast Symbolic Regression Benchmarking.