Research Article

GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS

Volume: 12 Number: 2 November 14, 2016
EN

GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS

Abstract

In this study we extend and generalize a locating and routing problem for UAVs, with an objective of maximization of the total score collected from interest points visited.  By solving the problem we determine simultaneously take-off and landing stations and visit order of interest points for each UAV. The problem is defined by an integer linear programming (ILP) formulation. An ant colony optimization approach is altered for the introduced problem. Computational experiments are performed to compare CPLEX solver and the heuristic. We observe that the heuristic performed well on the experienced instances. 

Keywords

References

  1. [1] Yakıcı E., (2016). Solving location and routing problem for UAVs,, Computers & Industrial Engineering, in press, doi: 10.1016/j.cie.2016.10.029.
  2. [2] Ahn J., DeWeck O., and Hoffman J., (2008). An optimization framework for global planetary surface exploration campaigns, Journal of the British Interplanetary Society, 61(12), pp. 487-498.
  3. [3] Ahn J., DeWeck O., Geng Y., and Klabjan D., (2012). Column generation based heuristics for a generalized location routing problem with profits arising in space exploration, European Journal of Operational Research, 223(1), pp. 47-59.
  4. [4] Drexl M., and Schneider M., (2015). A survey of variants and extensions of the location-routing problem, European Journal of Operational Research, 241(2), pp. 283-308.
  5. [5] Prodhon C., and Prins C., (2014). A survey of recent research on location-routing problems, European Journal of Operational Research, 238(1), pp. 1-17.
  6. [6] Stützle T., and Hoos H., (1997). Max-min ant system and local search for the traveling salesman problem, In Evolutionary Computation, IEEE International Conference on, pp. 309-314, IEEE.
  7. [7] Stützle T., and Hoos H., (2000). Max-min ant system, Future generation computer systems, 16(8), pp. 889-914.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Ertan Yakıcı
DENİZ HARP OKULU KOMUTANLIĞI

Publication Date

November 14, 2016

Submission Date

December 27, 2016

Acceptance Date

November 4, 2016

Published in Issue

Year 2016 Volume: 12 Number: 2

APA
Yakıcı, E. (2016). GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS. Journal of Naval Sciences and Engineering, 12(2), 67-78. https://izlik.org/JA89RF44SU
AMA
1.Yakıcı E. GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS. JNSE. 2016;12(2):67-78. https://izlik.org/JA89RF44SU
Chicago
Yakıcı, Ertan. 2016. “GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS”. Journal of Naval Sciences and Engineering 12 (2): 67-78. https://izlik.org/JA89RF44SU.
EndNote
Yakıcı E (November 1, 2016) GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS. Journal of Naval Sciences and Engineering 12 2 67–78.
IEEE
[1]E. Yakıcı, “GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS”, JNSE, vol. 12, no. 2, pp. 67–78, Nov. 2016, [Online]. Available: https://izlik.org/JA89RF44SU
ISNAD
Yakıcı, Ertan. “GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS”. Journal of Naval Sciences and Engineering 12/2 (November 1, 2016): 67-78. https://izlik.org/JA89RF44SU.
JAMA
1.Yakıcı E. GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS. JNSE. 2016;12:67–78.
MLA
Yakıcı, Ertan. “GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS”. Journal of Naval Sciences and Engineering, vol. 12, no. 2, Nov. 2016, pp. 67-78, https://izlik.org/JA89RF44SU.
Vancouver
1.Ertan Yakıcı. GENERALIZATION OF A UAV LOCATION AND ROUTING PROBLEM BY TIME WINDOWS. JNSE [Internet]. 2016 Nov. 1;12(2):67-78. Available from: https://izlik.org/JA89RF44SU