اعتباری فرهاد و ترابی نیلوفر، (1398). "ارائه مدل مکانیابی-مسیریابی ظرفیت دار پویا با در نظرگرفتن تقاضای وابسته به قیمت"، مطالعات مدیریت صنعتی، دوره 17، شماره 52، ص 89-124.
کریمی مرضیه، کاظمی ابوالفضل، عزیزمحمدی مهدی، (1394). "ارائه یک مدل چندهدفه جدید برای مسئله انتخاب تأمینکننده در زنجیره تامین و حل آن با الگوریتمهای فراابتکاری چند هدفه مبتنی بر پارتو"، مهندسی صنایع و مدیریت شریف، دورهی 1-31، شمارهی 1/ 2، ص 61-71.
کریمی مرضیه، کاظمی ابوالفضل و نادری علیرضا ، (1398). "ارائه و حل یک مدل برنامهریزی دوهدفه جهت انتخاب تأمین کننده بادر نظرگرفتن شرایط تخفیف و کمبود"، مطالعات مدیریت صنعتی، دوره 17، شماره 53، ص 127-158.
Ahmadi, J. A., Azad, N. (2010). “Incorporating location, routing and inventory decisions in supply chain network design”, Transportation Research, Vol. 46, PP. 582-597.
Ahn, C. W. and Ramakrishna, R. S. (2002). “A genetic algorithm for shortest path routing problem and the sizing of population”. IEEE Transaction on EvolutionaryComputation, vol. 6, No. 6, PP. 566-579.
Al Jadaan, O., Rao, C.R. and Rajamani, L. “Non-Dominated ranked genetic algorithm for solving Multi-Objective optimization problems: NRGA”, Journal of Theoritical and Applied Information Technology, pp.60-67, (2008).
Almouhanna, A., Quintero-Araujo, C. L., Panadero, J., Juan, A. A., Khosravi, B., & Ouelhadj, D. (2020). “The location routing problem using electric vehicles with constrained distance”. Computers & Operations Research, 115, 104864.
Azizi, V., & Hu, G. (2020). “Multi-product pickup and delivery supply chain design with location-routing and direct shipment”. International Journal of Production Economics, 107648.
Barahona, F., Jensen, D., (1998). “Plant Location with Minimum Inventory”, Mathematical Programming, Vol. 83, PP. 101-111.
Barreto, S. S., Ferreira, C., Paixa, J. and Santos, B. S. (2007). “Using clustering analysis in capacitated location-routing problem”. European Journal of Operational Research, Vol. 179, PP. 968–977.
Darvish, M., Archetti, C., Coelho, L. C., & Speranza, M. G. (2019). “Flexible two-echelon location routing problem”. European Journal of Operational Research, 277(3), 112
Deb, K. “Multi-objective optimization using evolutionary algorithms”, Chichester, UK: Wiley (2000).
Deb, K., Agrawal, S., Pratap, A. and Meyarivan, T. (2001). “A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II”, In: proceedings of the parallel problem solving from nature VI (PPSN-VI) conference,PP. 849-858.
Dukkanci, O., Kara, B. Y., & Bektaş, T. (2019). “The green location-routing problem”. Computers & Operations Research, 105, 187-202.
Geem, Z.W., Kim, J.H., Loganathan, G.V. (2001). “A New Heuristic Optimization Algorithm: Harmony search”. Simulation, Vol. 76, PP. 60-68.
Ghiani, G. and Laporte, G. (1999), “
Eulerian location problems”,
Networks, vol. 34, No. 4, PP. 291-302.
Lee, K.S., Geem, Z. W., (2004). “A new structural optimization method based on the harmony search algorithm”. Computers and Structures, Vol. 82, PP. 781-798.
Owen, S. H., & Daskin, M. S. (1998). “Strategic facility location: A review”. European journal of operational research, 111(3), 423-447.
Rabbani, M., Heidari, R., Farrokhi-Asl, H., & Rahimi, N. (2018). “Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types”. Journal of Cleaner Production, 170, 227-241.
Rahmati, S.H.A., Zandieh, M., and Yazdani, (2012). “M. Developing two multi-objective evolutionary algorithms for the multi-objective flexible job shop scheduling problem”,
International Journal of Advanced Manufacturing Technology, 64, 915-932
.
Schiffer, M., Schneider, M., Walther, G., & Laporte, G. (2019). “Vehicle routing and location routing with intermediate stops: a review”. Transportation Science, 53(2), 319-343.
Schott, J.R. (1995). “Fault tolerant design using single and multicriteria genetic algorithms optimization”, Master’s thesis, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA.
Srivastava, H. and Benton, W.C. (1990). “
The location-routing problem: considerations in physical distribution system design.”
Computers & operations research, vol. 17, No. 5, PP. 427-435.
Taguchi, G., “Introduction to quality engineering”, (1986).White Plains: Asian Productivity Organization/UNIPUB,
Tai-Hsi Wu, Chinyao Low, Jiunn-Wei Bai, (2001). “Heuristic solutions to multi-depot location-routing problems”, Management Science.
Toro, E., Franco, J., Echeverri, M., Guimarães, F & Rendón, R. (2017). “Green open location-routing problem considering economic and environmental costs”.International Journal of Industrial Engineering Computations , Vol. 8, No. 2, PP. 203-216.
Yao, Z., Lee, L. H., Jaruphongsa, W., Tan, V., Hui, C. F. (2010) “Multi - source facility location - allocation and inventory problem”, European Journal of Operational Research, Vol. 207, PP. 750-762.
Yu, V. F., Lin, S-W., Lee, W. and Ting, C.-J. (2010). “A simulated annealing heuristic for the capacitated location-routing problem”. Computers & Industrial Engineering, Vol. 58, PP. 288-299.
Zitler, E. (1999). “Evolutionary Algorithms for multi-objective optimization: method and applications”. p.h.D Thesis, dissertation ETHNO. 13398, Swaziland Federal Institute of Technology Zorikh, Switzerland.
Zitler, E. and Thiele, L. “Multiobjective optimization using evolutionary algorithms a comparative case study”, In A.E. Eiben, T. Back, M. Schoenauer and H.P. Schwefel (Eds.), Fifth International Conference on Parallel Problem Solving from Nature (PPSN-V), Berlin, Germany, pp.292-301, (1998).
