
Advances in Swarm Intelligence
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
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.
More details
Other editions
Additional editions

Content
.- 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.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.