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Kapasite Kısıtlı Araç Rotalama Problemi İçin Metasezgisel Yöntemler: Bilimsel Yazın Taraması

Yıl 2014, Cilt: 19 Sayı: 4, 337 - 355, 01.12.2014

Öz

The vehicle routing problem is a popular NP-Hard class combinatorial optimization problem. Some constraints as capacity and time can be added to the problem to make it compatible with the real life application. It is very difficult to solve this problem for large real-life data sets in polynomial time using exact solution methods. The exact solution methods can solve only small instances of the problem. Because of this feature, to get near optimal solutions in acceptable CPU times, heuristics and metaheuristcs methods are widely used in recent years. A great many of heuristics methods have been proposed in the literature for solving Capacitated Vehicle Routing Problem by this time. In this paper, we have conducted a literature review about metaheuristcs and their application to the capacitated vehicle routing problem

Kaynakça

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KAPASİTE KISITLI ARAÇ ROTALAMA PROBLEMİ İÇİN METASEZGİSEL YÖNTEMLER: BİLİMSEL YAZIN TARAMASI

Yıl 2014, Cilt: 19 Sayı: 4, 337 - 355, 01.12.2014

Öz

Araç rotalama problemi popüler bir NP-Zor sınıfı bütünleşik optimizasyon problemidir. Problemin gerçek yaşam ile uyumlu hale gelmesi için kapasite ve zaman gibi kısıtlar probleme eklenebilir. Büyük boyutlu gerçek yaşam veri setleri için kesin çözüm yöntemleri kullanılarak bu problemin polinom zamanda çözümü oldukça zordur. Kesin çözüm yöntemleri problemin sadece küçük boyutlu örneklerini çözebilmektir. Bu özelliği nedeniyle, optimale yakın çözümlerin kabul edilebilir bir hesap süresinde sağlanabilmesi için sezgisel ve metasezgisel yöntemler son yıllarda yaygın olarak kullanılmaktadır. Bugüne kadar kapasiteli araç rotalama probleminin çözümü yönelik olarak literatürde çok sayıda çözüm yöntemi önerilmiştir. Bu çalışmada, metasezgisel yöntemler ve bunların kapasiteli araç rotalama problemine uygulanışı hakkında bir literatür araştırması yapılmıştır

Kaynakça

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  • KE, L., FENG, Z., (2013). ―A two-phase metaheuristic for the cumulative capacitated vehicle routing problem‖, Computers & Operations Research, 40, 633–638.
  • KENNEDY, J., EBERHART, C., (1995). ―Particle Swarm Optimization‖, Proc. of IEEE International Conference on Neural Network, Piscataway, NJ. s. 1942-1948
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  • KULAK, O., YILMAZ, Ġ.O., GÜNTHER, H.O., (2005). ―Genetik Algoritma Esasli PCB Montaji Optimizasyonu‖, V. Ulusal Üretim AraĢtırmaları Sempozyumu, Ġstanbul Ticaret Üniversitesi, 25-27 Kasım 2005.
  • KUO, Y., WANG, C.C., (2012). ―A variable neighborhood search for the multidepot vehicle routing problem with loading cost‖, Expert Systems with Applications, 39, 6949-6954.
  • KYTÖJOKĠ, J., NUORTĠO, T., BRÄYSY, O., GENDREAU, M., (2007). ―An efficient variable neighborhood search heuristic for very large scale vehicle routing problems‖, Operations Research and Computers, 34, 2743–2757.
  • LAPORTE G., (1992). ―The Vehicle Routing Problem: An overview of exact and approximate algorithms‖. European Journal of Operational Research, 59, 345 – 358.
  • LAPORTE, G., (2007). "What you should know about the vehicle routing problem". Naval Research Logistics 54 (8): 811-819.
  • LAPORTE, G., (2009). Fifty years of vehicle routing. Transportation Science 43 (4): 408- 416.
  • LAPORTE, G., NOBERT, Y., (1987). ―Exact algorithms for the vehicle routing problem‖, Annals of Discrete Mathematics, 31, 147-184.
  • LAPORTE, G., SEMET, F. (2002). ―Classical heuristics for the capacitated VRP‖, (Ed) Toth, P., Vigo, D., The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. SIAM, Philadelphia, pp. 109–128.
  • LEUNG, S.C. H., ZHENG, J., ZHANG, D., ZHOU, X., (2010). ―Simulated annealing for the vehicle routing problem with two-dimensional loading constraints‖, Flexible Services and Manufacturing Journal, 22 (1), 61-82.
  • MANIEZZO, V., (1998). ―Exact and Approximate Nondeterministic Tree-Search Procedures for the Quadratic Assignment Problem‖, Technical report, CSR 98-1. C. L. in Scienze dell’Informazione, Universitá di Bologna, Italy.
  • MANIEZZO, V., COLORNI, A., (1999), "The Ant System Applied to the Quadratic Assignment Problem. IEEE Trans. Knowledge and Data Engineering, 11 (5): 769 - 778.
  • MARINAKIS, Y., MARINAKI, M., (2010). ―A Hybrid Genetic-Particle Swarm Optimization Algorithm for the Vehicle Routing Problem‖, Expert Systems with Application, 37, 1446-1455.
  • MAZZEO, S., LOISEAU, I., (2004). ―An Ant Colony Algorithm for the Capacitated Vehicle Routing‖, Electronic Notes in Discrete Mathematics, 18, 181—186.
  • MESTER, D., BRAYSY, O., (2007). ―Active-guided evolution strategies for large-scale capacitated vehicle routing problems‖, Computers & operations Research,34 (10): 2964-2975.
  • MOGHADDAM, R. T., SAFAEĠ, N., KAH, M. M. O., RABBANĠ, M., (2007). ―A new capacitated vehicle routing problem with split service for minimizing fleet cost by simulated annealing‖, Journal of the Franklin Institute, 344, (5): 406-425.
  • MOSHEĠOVA, G., (1998). ―Vehicle routing with pick-up and delivery: tour-partitioning heuristics‖, Computers & Industrial Engineering, 34 (3): 669–684.
  • NADDEF, D., RĠNALDĠ, G., (2002). ―The Vehicle Routing Problem‖, Monographs on Discrete Mathematics and Applications‖. (Ed) Toth, P., Vigo, D., The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. SIAM, Philadelphia,, pp. 53-84.
  • NAZĠF, H., LEE. L.S., (2012). ―Optimized crossover genetic algorithm for capacitated vehicle routing problem‖, Applied Mathematical Modeling, 36, 2110–2117.
  • OSMAN, I.H., (1993). ―Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problem‖, Annals of Operations Research 41, 421–451.
  • QI, C., (2011). ―Application of Improved Discrete Particle Swarm Optimization in Logistics Distribution Routing Problem‖, Procedia Engineering, 15, 3673-3677.
  • RALPHS, T. K. (2003). ―Parallel branch and cut for capacitated vehicle routing‖, Parallel Computing, 29, 607–629.
  • REIMANN, M., DOERNER, K., AND HARTL, R.F. (2004). ―D-Ants: Savings based ants divide and conquer the vehicle routing problem‖, Computers & Operations Research, 31, 563 – 591.
  • ROCHAT Y., TAILLARD E., (1995). "Probabilistic Diversification and Intensification in Local Search for Vehicle Routing.", Journal of Heuristics 1, 147-167.
  • SHANGYAO, Y., CHĠ, C.J., TANG, C.H. (2006), ―Inter-city Bus Routing and Timetable Setting under Stochastic Demands,‖ Transportation Research, 40A, 572-586.
  • STÜTZLE, T., DORĠGO, M., (1999a). "ACO Algorithms for the Traveling Salesman Problem.‖, (Ed) K. Miettinen, M.M. Makel a, P . Neittaanmaki, & J. Periaux, Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications. John Wiley & Sons.
  • STUTZLE, T., DORĠGO, M., (1999b). "ACO Algorithms for the Quadratic Assignment Problem.", (Ed) D. Corne, M. Dorigo, & F. Glover, New Ideas in Optimization. McGraw-Hill.
  • STUTZLE, T., HOOS, H., (1998), ―MAX –MIN Ant System and Local Search for Combinatorial Optimization Problems‖ Pages 313–329 of: S.Voß, S. Martello, I.H. Osman, & C. Roucairol, Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization. Kluwer Academics, Boston.
  • STUTZLE, T., HOOS, H., (2000), ―MAX-MIN ant system‖, Future Generation Computer Systems, 16(8), 889-914.
  • SWĠHART, M. R., PAPASTAVROU, J. D., (1999). "A stochastic and dynamic model for the single-vehicle pick-up and delivery problem", European Journal of Operational Research, 114: 447–464.
  • SZETO, W., WU, Y., HO, S.C., (2011). "An artificial bee colony algorithm for the capacitated vehicle routing problem", European Journal of Operational Research, 215, 126–135.
  • ġAHĠN, Y., KULAK, O., (2013). ―Depo Operasyonlarının Planlanması Ġçin Genetik Algoritma Esaslı Modeller.‖, Uluslararası Alanya ĠĢletme Fakültesi Dergisi, 5,3, 141-153.
  • TAĠLLARD, É. D., (1993). ―Parallel Iterative Search Methods for Vehicle Routing Problems‖, Networks, 23, 661-676.
  • TAN, W.F., LEE, L.S., MAJĠD, Z.A., SEOW, H.V., (2012). ―Ant colony optimization for capacitated vehicle routing problem‖, J. Comput. Sci., 8: 846-852.
  • TARANTILIS, C.D., KIRANOUDIS, C.T., (2002). ―Using a spatial decision support system for solving the vehicle routing problem‖, Information & Management, 39, 359–375.
  • TARANTILIS C.D., IOANNOU, G., KIRANOUDIS, C.T., PRASDACOS, G.P., (2005). ―Solving the open vehicle routing problem via single parameter meta-heuristic algorithm‖, Journal of the Operational Research Society: 1–9.
  • TARANTILIS, C.D., (2005). ―Solving the Vehicle Routing Problem with Adaptive Memory Programming Methodology.‖Computers & Operations Research, 32 (9): 2309–2327.
  • TOTH, P., VIGO, D. (1998), ―Exact algorithms for vehicle routing‖, (Ed) Crainic, T., Laporte, G., Fleet Management and Logistics. Kluwer Academic, Boston, pp. 1– 31.
  • TOTH, P., VIGO, D. (2002a), ―An overview of vehicle routing problems‖, (Ed) Toth, P., Vigo, D., The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. SIAM, Philadelphia, pp. 1–26.
  • TOTH, P., VIGO, D. (2002b), Branch-and-bound algorithms for the capacitated VRP‖ (Ed) Toth, P., Vigo, D., The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. SIAM, Philadelphia, pp. 29–51.
  • TUTUNCU, G.Y., CARRETO, A.C., BAKER, M.B., (2009). ―A Visual Interactive Approach to the Classical and Mixed Vehicle Routing Problems with Backhauls‖, Omega-International Journal Of Management Science , 37 (1): 138-154.
  • WANG, C.H. LU, J.Z., (2009). ―A hybrid genetic algorithm that optimizes capacitated vehicle routing problems‖, J Expert Syst. Appl., 36 (2): 2921-2936.
  • WASSAN, N.A., (2006). ―A reactive tabu search for the vehicle routing problem‖, Journal of the Operational Research Society, 57, 111- 116.
  • XIAO, Z.; JIANG-QING, W., (2012). ―Hybrid Ant Algorithm and Applications for Vehicle Routing Problem‖, Physics Procedia, 25, 1892-1899.
  • ZACHARĠADĠS, E.E., TARANTĠLĠS, C.D., KĠRANOUDĠS, C.T., (2009), ―A guided tabu search for the vehicle routing problem with two-dimensional loading constraints‖, European Journal of Operational Research, 195 (3): 729-743.
  • ZENG, L., ONG, H.L., NG, K.M., (2005). ―An assignment-based local search method for solving vehicle routing problems‖, Asia-Pacific Journal of Operational Research, 22, 85–104.
Toplam 111 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

  yusuf Şahin Bu kişi benim

Prof.dr.abdullah Eroğlu Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 19 Sayı: 4

Kaynak Göster

APA Şahin, ., & Eroğlu, P. (2014). KAPASİTE KISITLI ARAÇ ROTALAMA PROBLEMİ İÇİN METASEZGİSEL YÖNTEMLER: BİLİMSEL YAZIN TARAMASI. Süleyman Demirel Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 19(4), 337-355.