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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.
List of contents
.- 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.
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.
