LEADER 05911nam 22006975 450 001 9911047819703321 005 20251001130628.0 010 $a981-9509-82-3 024 7 $a10.1007/978-981-95-0982-9 035 $a(CKB)41520891100041 035 $a(MiAaPQ)EBC32323473 035 $a(Au-PeEL)EBL32323473 035 $a(DE-He213)978-981-95-0982-9 035 $a(EXLCZ)9941520891100041 100 $a20251001d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Swarm Intelligence $e16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11?15, 2025, Proceedings, Part I /$fedited by Ying Tan, Yuhui Shi 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (593 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16011 311 08$a981-9509-81-5 327 $a -- Particle Swarm Optimization. -- An Empirical Analysis of Particle Swarm Optimisation Approaches for Multi-objective Optimisation. -- An Improved Particle Swarm Optimization Algorithm for Vehicle Routing Problem with Time Windows. -- Density-Aware and Particle Swarm Optimized WGAN for Medical Insurance Fraud Detection. -- Application of PSO for Hyperparameter Optimization of Convolutional Neural Network. -- Swarm Optimization Algorithms. -- A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization. -- TDRSolver: Confidentiality-Preserving Repair of Inconsistent Data in Temporal Knowledge Graphs Using Ant Colony Optimization. -- Cuckoo Search Algorithm for Chaos Control of Two-Dimensional Chaotic Maps. -- Population Initialization of Genetic Algorithms Based on Chaotic Mapping: Diversity Research and Boundary Effect Optimization. -- Wild Hounds Optimization Algorithm: A Novel Population-based Meta-heuristic for Function Optimization. -- A Weighted Binary String Benchmark to Assess the Efficiency of Stochastic Search Processes. -- Enhancing Competitive Swarm Optimization through Time-Adaptive Selection between Adjacency-Guided and Random Strategies. -- Quantum-Enhanced Harris Hawks Optimization: A Next-Generation Metaheuristic. -- Digital Memcomputing with Frog Jumps. -- Swarm of Large Language Models. -- Multi-Scale Swarm of Large Language Models for Python Code Generation. -- SwarmChat: An LLM-Based, Context-Aware Multimodal Interaction System for Robotic Swarms. -- MS-RL-CoT: Multi-Source Feedback for Medical LLMs. -- Extending Pre-trained ASR Models to Cross-modal and Cross-lingual Speech-Text Retrieval. -- Performance Evaluation of Pretrained Convolutional Neural Networks for Diabetic Macular Edema Diagnosis in Retinal Fundus Imaging. -- Agent and Multi-agents. -- Agent: A New Paradigm for Fundamental Units of the Universe. -- The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence. -- Quasi-consensus of heterogeneous multi-agent systems with time delay via aperiodically intermittent adaptive control. -- ME-RAG: Multiagent Ecclesia for Retrieval Augmented Generation. -- Prescribed Performance Cooperative Guidance for Multi-vehicle Against Maneuvering Target. -- Vehicle Routing. -- Vehicle Routing for Perishable Food with Freshness Preservation: A Heuristic-Enhanced NSGA-II. -- An Improved Hybrid Ant Colony Optimization for Vehicle Routing Problem with Time Windows. -- A Novel Path Planning Method for Underactuated AUV Docking Based on B´ezier Curve and RP-PSO. -- Shipping Time Optimization for Vehicle Rout-ing Problem in Logistic Delivery Industry via Swarm Intelligence. -- A robust region-based controller for an underwater vehicle-manipulator system. -- Thermal-Aware CBS for Multi-AGV Path Planning in Semiconductor Intelligent Warehousing. 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,$x1611-3349 ;$v16011 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 $a9911047819703321 996 $aAdvances in Swarm Intelligence$94209767 997 $aUNINA