Variable Neighborhood Search: 11th International Conference, ICVNS 2025, Montreal, QC, Canada, May 12–14,...

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Sergio Cavero Eduardo G. Pardo

Variable Neighborhood Search

Name: Variable Neighborhood Search
Price: 101.37 AUD
Availability: OutOfStock
ISBN: 9783032195814

11th International Conference, ICVNS 2025, Montreal, QC, Canada, May 12–14, 2025, Revised Selected...

Sergio Cavero, Eduardo G. Pardo, Angelo Sifaleras

$126.95 $101.37

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English

Springer Nature Switzerland AG
19 March 2026

Discrete mathematics; Mathematical theory of computation; Maths for computer scientists

Series: Lecture Notes in Computer Science

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.

Edited by: Sergio Cavero, Eduardo G. Pardo, Angelo Sifaleras
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783032195814
ISBN 10: 3032195810
Series: Lecture Notes in Computer Science
Pages: 211
Publication Date: 19 March 2026
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

.- 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. .- Multi-Objective Variable Neighborhood Search for the inference of test models from user bug reports in software systems. .- Heuristics for the PVRP with Driver Consistency: An Applied Case Study.