Research Article
BibTex RIS Cite

Çok Amaçlı Kapasite Kısıtlı Araç Rotalama Problemi Çözümünde Bir Karınca Kolonisi Optimizasyon Algoritması Yaklaşımı

Year 2018, Volume 6, Issue 1, 2018, 37 - 48, 25.03.2018
https://doi.org/10.17093/alphanumeric.366852

Abstract

Ulaşım ve lojistik sektöründe araç rotalama problemi çok yönlü ele alınması gereken önemli bir konudur. Çalışmanın amacı, ulaştırma sektöründe sahip olduğu servis araçlarıyla oteller ile havalimanı arası yolcu taşımacılığı yapan ve hala faaliyette bulunan bir firmanın toplam tur sürelerini ve bir yolcunun ortalama ulaşımda geçirdiği süreyi minimize etmektir. Araçlarda bulunan yolcu taşıma sınırlamaları nedeniyle problem Çok Amaçlı Kapasite Kısıtlı Araç Rotalama problemi olarak ele alınmıştır. Problemin çözümünde sezgisel bir yöntem olan Karınca Kolonisi Optimizasyonu Algoritması kullanılmıştır. Çözüm sonuçlarına göre turların süresi ve müşterilerin ortalama ulaşımda geçirdikleri süre açısından önerilen modelin her iki parametre açısından da önemli iyileştirmeler sağladığı gözlenmiştir.

References

  • Dantzig, G. B., ve Ramser, J. H. (1959). The truck dispatching problem. Management science, 6(1), 80-91.
  • Dorigo, M. (1992). Optimization, learning and natural algorithms. Ph. D. Thesis, Politecnico di Milano, Italy.
  • Dorigo, M., Maniezzo, V., ve Colorni, A. (1996). Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 26(1), 29-41.
  • Dorigo, M., ve Blum, C. (2005). Ant colony optimization theory: A survey. Theoretical computer science, 344(2-3), 243-278.
  • Dorigo, M., ve Gambardella, L. M. (1997). Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on evolutionary computation, 1(1), 53-66.
  • Ekşioğlu, B., Vural, A. V., ve Reisman, A. (2009). The vehicle routing problem: A taxonomic review. Computers & Industrial Engineering, 57(4), 1472-1483.
  • Gambardella, L. M., ve Dorigo, M. (1996, May). Solving symmetric and asymmetric TSPs by ant colonies. In Evolutionary Computation, 1996., Proceedings of IEEE International Conference on (pp. 622-627). IEEE.
  • Jozefowiez, N., Semet, F., ve Talbi, E. G. (2008). Multi-objective vehicle routing problems. European journal of operational research, 189(2), 293-309.
  • Karagül, K., ve Güngör, İ. (2014a). Havalimanindan Otellere Tek Tip Araçlarla Turist Dağitimi Problemine Çözüm Önerisi Ve Alanya Uygulamasi. Dumlupinar University Journal Of Social Science/Dumlupinar Üniversitesi Soysyal Bilimler Dergisi.
  • Karagül, K., ve Güngör, İ. (2014b). A case study of heterogeneous fleet vehicle routing problem: Touristic distribution application in Alanya. An International Journal of Optimization and Control, 4(2), 67.
  • Lin, S. W., Lee, Z. J., Ying, K. C., ve Lee, C. Y. (2009). Applying hybrid meta-heuristics for capacitated vehicle routing problem. Expert Systems with Applications, 36(2), 1505-1512
  • Özkan, M.M. (2003). Bulanık Hedef Programlama. Bursa: Ekin Kitapevi
  • Tiwari, R.N., Dharmar, S. ve Rao, J.R. (1987). “Fuzzy Goal Programming- An Additive Model”, Fuzzy Sets and Systems, 24:27-34.
  • Toth, P., ve Vigo, D. (2002). Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics, 123(1), 487-512.

An Ant Colony Optimization Algorithm Approach for Solving Multi-objective Capacitated Vehicle Routing Problem

Year 2018, Volume 6, Issue 1, 2018, 37 - 48, 25.03.2018
https://doi.org/10.17093/alphanumeric.366852

Abstract

In the transportation and logistics sector, the problem of vehicle routing is an important issue that needs to be addressed in many ways. The aim of the work is to minimize the total tour time and the average length of time that a passenger travels on by a service company that is carrying passengers between the hotel and the airport with their service vehicles. Due to the limitations of passenger transport in vehicles, the problem is dealt with as a Multi-objective Capacitated Vehicle Routing problem. An Ant Colony Optimization Algorithm which is a heuristic method is proposed for solving the problem. According to the results of the solution, it is observed that the proposed model provides significant improvements in terms of both parameters in terms of the duration of the tours and the duration of the average transportation time of the customers.

References

  • Dantzig, G. B., ve Ramser, J. H. (1959). The truck dispatching problem. Management science, 6(1), 80-91.
  • Dorigo, M. (1992). Optimization, learning and natural algorithms. Ph. D. Thesis, Politecnico di Milano, Italy.
  • Dorigo, M., Maniezzo, V., ve Colorni, A. (1996). Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 26(1), 29-41.
  • Dorigo, M., ve Blum, C. (2005). Ant colony optimization theory: A survey. Theoretical computer science, 344(2-3), 243-278.
  • Dorigo, M., ve Gambardella, L. M. (1997). Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on evolutionary computation, 1(1), 53-66.
  • Ekşioğlu, B., Vural, A. V., ve Reisman, A. (2009). The vehicle routing problem: A taxonomic review. Computers & Industrial Engineering, 57(4), 1472-1483.
  • Gambardella, L. M., ve Dorigo, M. (1996, May). Solving symmetric and asymmetric TSPs by ant colonies. In Evolutionary Computation, 1996., Proceedings of IEEE International Conference on (pp. 622-627). IEEE.
  • Jozefowiez, N., Semet, F., ve Talbi, E. G. (2008). Multi-objective vehicle routing problems. European journal of operational research, 189(2), 293-309.
  • Karagül, K., ve Güngör, İ. (2014a). Havalimanindan Otellere Tek Tip Araçlarla Turist Dağitimi Problemine Çözüm Önerisi Ve Alanya Uygulamasi. Dumlupinar University Journal Of Social Science/Dumlupinar Üniversitesi Soysyal Bilimler Dergisi.
  • Karagül, K., ve Güngör, İ. (2014b). A case study of heterogeneous fleet vehicle routing problem: Touristic distribution application in Alanya. An International Journal of Optimization and Control, 4(2), 67.
  • Lin, S. W., Lee, Z. J., Ying, K. C., ve Lee, C. Y. (2009). Applying hybrid meta-heuristics for capacitated vehicle routing problem. Expert Systems with Applications, 36(2), 1505-1512
  • Özkan, M.M. (2003). Bulanık Hedef Programlama. Bursa: Ekin Kitapevi
  • Tiwari, R.N., Dharmar, S. ve Rao, J.R. (1987). “Fuzzy Goal Programming- An Additive Model”, Fuzzy Sets and Systems, 24:27-34.
  • Toth, P., ve Vigo, D. (2002). Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics, 123(1), 487-512.
There are 14 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Osman Pala 0000-0002-2634-2653

Mehmet Aksaraylı 0000-0003-1590-4582

Publication Date March 25, 2018
Submission Date December 16, 2017
Published in Issue Year 2018 Volume 6, Issue 1, 2018

Cite

APA Pala, O., & Aksaraylı, M. (2018). Çok Amaçlı Kapasite Kısıtlı Araç Rotalama Problemi Çözümünde Bir Karınca Kolonisi Optimizasyon Algoritması Yaklaşımı. Alphanumeric Journal, 6(1), 37-48. https://doi.org/10.17093/alphanumeric.366852

Alphanumeric Journal is hosted on DergiPark, a web based online submission and peer review system powered by TUBİTAK ULAKBIM.

Alphanumeric Journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License