Buch, Englisch, 321 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 522 g
16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11-15, 2025, Proceedings, Part II
Buch, Englisch, 321 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 522 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-950984-3
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- 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.
