Advances in Swarm Intelligence

TRAMA

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.

SOMMARIO

.- Multiobjective Optimization. .- Enhanced Multi-objective Particle Swarm Optimization Algorithms. .- Evolutionary Multiobjective Optimization of Mixed Neural NetworkControllers for Hexapod Robot Locomotion Control. .- Entropy-Informed Stochastic Improvement for Indicator-BasedMultiobjective Optimization. .- LA-NSGA-II: A Multi-Objective Evolutionary Approach for PatientReferral Optimization in Integrated Healthcare Networks. .- Constrained Multimodal Multi-objective Optimization AlgorithmBased on Improved PPS Framework. .- A Constrained Multi-Objective Differential Evolution Algorithm Basedon Evolutionary Multi-Task Optimization. .- Approaches for Classification and Feature Selection. .- Comparative Analysis of Segmentation and Classification Models ofRetinopathies in Ophthalmological Images. .- Integration of Magnetic Resonance Imaging and NeuropsychologicalData for Automated Parkinson’s Diagnosis. .- Integrating Multi-modal Contrastive Learning and Multi-scale FeatureExtractor for Liver Cancer Classification. .- Optimization of Classification Models for Heart Disease: Comparisonbetween Feature Selection and Dimensionality Reduction Techniques. .- Enhanced Differential Evolution-Based Multi-modal Feature Selectionin Power Equipment Defect Detection. .- Multi-Strategy Improved Pelican Optimization Algorithm for SolvingMinimal Attribute Reduction Problem. .- Prediction and Detection Algorithms. .- An Efficient Neural Network-based Mathematical Modelling for IronOre Quality Prediction. .- How Data Missing Affects Stability of Feature Selection: An EmpiricalStudy. .- Research on Sound Source Identification Method for Beach Search andRescue Based on Convolutional Neural Network. .- A Mutual Information-based Adaptive Large Neighborhood Searchfor Solving Inventory-constrained Cigarette Formulation MaintenanceProblem. .- Ingredient Detection from Low-Quality Images of Food Labels. .- From Single-tasking Swarming to Multi-tasking HeterogeneousSwarming for Solving Non-uniform Area Coverage Problems. .- A Lightweight YOLOv11-based Model with Small Object EnhancePyramid 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 CooperativeTransportation. .- Design and Implementation of Risk Control Model and ScenarioAdaptation Method Based on Graph Machine Learning. .- Incremental Update Strategy for Continuous Action IteratedHierarchical Dilemma. .- Modeling of Parent-Child Interaction through Facial Expressions forChildcare Support Systems. .- Fast Symbolic Regression Benchmarking.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789819509843
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XVII, 306 p. 92 illus.
• Pagine Arabe: 306
• Pagine Romane: xvii