Variable Neighborhood Search
Description
This volume constitutes the proceedings of the 11th International Conference on Variable Neighborhood Search, ICVNS 2025, held in Montreal, QC, Canada, in May 2025.
The 14 full papers presented in this volume were carefully reviewed and selected from 20 submissions. The papers describe recent advances in methods and applications of variable neighborhood search.
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Content
.- Solving the Minimum Positive Influence Dominating Set Problem in Social Networks Using Metaheuristics.
.- A Machine Learning Enhanced Variable Neighborhood Search Approach for the Uncapacitated Facility Location Problem
.- Adaptive VNS in Dynamic Optimization of Touristic Itineraries.
.- General Variable Neighborhood Search for the Multi-Source Capacitated Facility Location Problem with Customer Incompatibilities and Maximum Budget Service Constraints.
.- Exact and Metaheuristic Methods for a No-wait Two-Stage Hybrid Flow Shop with a Single Server.
.- Solving the Integrated Production and Routing Problem using a Skewed Hybrid Variable Neighborhood Search Algorithm.
.- PyCommend VNS: A Multi-Objective Python Library Recommendation Framework.
.- Multi-Objective VNS Tourism Planning: Optimizing Weekend Itineraries in Montreal.
.- Variable Neighborhood Programming for Job Shop Scheduling Problems.
.- Variable Formulation Search for the Cyclic Min-Max Sitting Arrangement Problem.
.- Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search.
.- A variable neighborhood search heuristic for semi-supervised minimum sum-of-squares clustering.
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Multi-Objective Variable Neighborhood Search for the inference of test models from user bug reports in software systems.
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Heuristics for the PVRP with Driver Consistency: An Applied Case Study.