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

• Autore: Tan Ying
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (480 pages)
• Disciplina: 006.3824
• Soggetto topico: 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
• Altri autori: ShiYuhui
• Nota di contenuto: -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Swarm Intelligence
• ISBN: 981-9509-85-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911047683103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 16012