Variable Neighborhood Search

.- 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.

• Erscheinungsdatum: 18.03.2026
• Autor/Autorin: Sergio Cavero
• Reihe: Springer Nature Proceedings Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 12.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 211 Seiten
• ISBN: 9783032195821
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.