Advances in Swarm Intelligence 16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11–15, 2025, Proceedings, Part I

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.

.- 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.