A firefly algorithm for the heterogeneous fixed fleet vehicle routing problem
Panagiotis-Petros Matthopoulos and
Stella Sofianopoulou
International Journal of Industrial and Systems Engineering, 2019, vol. 33, issue 2, 204-224
Abstract:
Vehicle routing is a key success factor in logistics problems. A variation of vehicle routing problem (VRP), the heterogeneous fixed fleet VRP in which the vehicles available for distribution activities are characterised by different capacities and costs, is tackled. A hybrid firefly algorithm for optimising the routing of heterogeneous fixed fleet of vehicles in logistics distribution systems is presented. The principles and key steps of the proposed firefly algorithm are introduced in detail. Experimental results from solving the heterogeneous fixed fleet vehicle routing problem when tested on benchmark datasets are demonstrated. Moreover, the algorithm is compared with other algorithms solving similar problems in order to prove the effectiveness of the proposed hybrid firefly algorithm.
Keywords: firefly algorithm; nature inspired metaheuristic algorithms; combinatorial optimisation; vehicle routing problem; VRP. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.inderscience.com/link.php?id=102471 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:33:y:2019:i:2:p:204-224
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().