Advances in Swarm Intelligence
Springer Verlag, Singapore
978-981-95-0984-3 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 02.10.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | 77 Illustrations, color; 26 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | ABC • ACO • GA • PSO • Swarm intelligence • swarm intelligence optimization algorithm |
| ISBN-10 | 981-95-0984-X / 981950984X |
| ISBN-13 | 978-981-95-0984-3 / 9789819509843 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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