Air refueling tanker allocation based on a multi-objective zero-one integer programming model
Farzaneh Ferdowsi (),
Hamid Reza Maleki () and
Sanaz Rivaz ()
Additional contact information
Farzaneh Ferdowsi: Shiraz University of Technology
Hamid Reza Maleki: Shiraz University of Technology
Sanaz Rivaz: Babol Noshirvani University of Technology
Operational Research, 2020, vol. 20, issue 4, No 1, 1913-1938
Abstract:
Abstract The need to refuel aircraft traveling long distances is important because fuel tank capacities limit the range of aircraft, and landing to refuel may not be practical or even possible. To overcome this difficulty, aerial refueling can be performed en route along the aircraft’s travel path to extend its range. This paper considers the problem of identifying the locations along an aircraft flight path at which to conduct aerial refueling, given a limited number of refueling stations. Due to the inherent uncertainty of real-world cases, the cost of refueling is considered as an interval number, and the problem is mathematically presented as an interval multi-objective zero-one integer programming model. To solve the model, a new version of the modified label-correcting method and a genetic algorithm are proposed. Moreover, the applicability and efficiency of the proposed solution approaches are examined and compared using some randomly generated test problems.
Keywords: Aerial refueling; Allocation problem; Interval multi-objective zero-one integer programming; Modified label-correcting method; Genetic algorithm (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s12351-018-0402-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:operea:v:20:y:2020:i:4:d:10.1007_s12351-018-0402-5
Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351
DOI: 10.1007/s12351-018-0402-5
Access Statistics for this article
Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis
More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().