A genetic-based approach for vehicle routing problem with fuzzy alpha-cut constraints

In today’s business environment, logistics and supply chain management are especially important for the timely delivery of materials and goods. Delivery must not only be fast, it also needs to be performed within a specific time frame. Therefore, this study examines a vehicle routing problem (VRP) t...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 29; H. 2; S. 1169 - 1189
Hauptverfasser:	Kang, He-Yau, Lee, Amy H. I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2025 Springer Nature B.V
Schlagworte:	Application of Soft Computing Artificial Intelligence Computational Intelligence Constraints Control Customer satisfaction Customer services Design of experiments Distribution costs Energy consumption Engineering Fuzzy sets Genetic algorithms Heuristic Linear programming Mathematical Logic and Foundations Mathematical models Mechatronics Multiple objective analysis Mutation Objectives Optimization Pareto optimum Performance evaluation Robotics Sensitivity analysis Supply chains Taxonomy Travel Travel time Vehicle routing Vehicles Windows (intervals) Fuzzy alpha-cut constraints Time window Improved genetic algorithm Customer satisfaction Vehicle routing problem
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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