A new hybrid bat algorithm optimizing the capacitated vehicle routing problem
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Publication date
2020
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04B - Conference paper
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Proceedings of the 2020 the 3rd International Conference on Computers in Management and Business
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Pages / Duration
107–111
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Association for Computing Machinery
Place of publication / Event location
Tokyo
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Abstract
The Capacitated Vehicle Routing Problem (CVRP), an extension of the Traveling Salesman Problem with two added constraints, a local depot and a capacity constraint for each vehicle, is solved by a Hybrid Bat Algorithm (HBA). This paper investigates how the standard Bat Algorithm must be extended to become a HBA being able to solve the CVRP. The Hybrid Bat Algorithm is tested and compared to three other optimization algorithms for the CVRP, the Clarke & Wright Savings Algorithm, the Holmes and Parker Algorithm, and the Fisher and Jaikumar Method. It is discussed how the HBA is able to deliver decent solutions of the CVRP.
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Subject (DDC)
330 - Wirtschaft
Event
2020 3rd International Conference on Computers in Management and Business (ICCMB2020)
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31.01.2020
Conference end date
02.02.2020
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978-1-4503-7677-8
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Language
English
Created during FHNW affiliation
Yes
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Published
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Closed
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Citation
KUSSMANN, Simon, Yannick GODAT, Thomas HANNE und Rolf DORNBERGER, 2020. A new hybrid bat algorithm optimizing the capacitated vehicle routing problem. In: Proceedings of the 2020 the 3rd International Conference on Computers in Management and Business. Tokyo: Association for Computing Machinery. 2020. S. 107–111. ISBN 978-1-4503-7677-8. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42828