LEADER 05658nam 22006975 450 001 9911047683103321 005 20251001130808.0 010 $a981-9509-85-8 024 7 $a10.1007/978-981-95-0985-0 035 $a(MiAaPQ)EBC32323614 035 $a(Au-PeEL)EBL32323614 035 $a(CKB)41528772400041 035 $a(DE-He213)978-981-95-0985-0 035 $a(EXLCZ)9941528772400041 100 $a20251001d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Swarm Intelligence $e16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11?15, 2025, Proceedings, Part II /$fedited by Ying Tan, Yuhui Shi 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (480 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16012 311 08$a981-9509-84-X 327 $a -- 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. 330 $aThis two-volume set LNCS 16011 and 16012 constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Swarm Intelligence, ICSI 2025, held in Yokohama, Japan, during July 11-15, 2025. The 54 revised full papers presented in these proceedings were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Particle Swarm Optimization; Swarm Optimization Algorithms; Swarm of Large Language Models; Agent and Multi-agents; Vehicle Routing; Multiobjective Optimization; Approaches for Classification and Feature Selection; Prediction and Detection Algorithms; Machine Learning. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16012 606 $aComputer science 606 $aComputer engineering 606 $aComputer networks 606 $aMachine learning 606 $aComputer science$xMathematics 606 $aComputational intelligence 606 $aTheory of Computation 606 $aComputer Engineering and Networks 606 $aMachine Learning 606 $aMathematics of Computing 606 $aComputational Intelligence 615 0$aComputer science. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aMachine learning. 615 0$aComputer science$xMathematics. 615 0$aComputational intelligence. 615 14$aTheory of Computation. 615 24$aComputer Engineering and Networks. 615 24$aMachine Learning. 615 24$aMathematics of Computing. 615 24$aComputational Intelligence. 676 $a006.3824 700 $aTan$b Ying$0846863 701 $aShi$b Yuhui$0907797 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047683103321 996 $aAdvances in Swarm Intelligence$94209767 997 $aUNINA