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Advances in Swarm Intelligence : 16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11–15, 2025, Proceedings, Part II / edited by Ying Tan, Yuhui Shi.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Tan, Ying.
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 16012
- Language:
- English
- Subjects (All):
- Computer science.
- Computer engineering.
- Computer networks.
- Machine learning.
- Computer science--Mathematics.
- Computational intelligence.
- Theory of Computation.
- Computer Engineering and Networks.
- Machine Learning.
- Mathematics of Computing.
- Computational Intelligence.
- Local Subjects:
- Theory of Computation.
- Computer Engineering and Networks.
- Machine Learning.
- Mathematics of Computing.
- Computational Intelligence.
- Physical Description:
- 1 online resource (480 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9509-85-8
- 9789819509850
- OCLC:
- 1547923927
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