Afshar-Nadjafi, B., and Afshar-Nadjafi, A. (2017). A constructive heuristic for time-dependent multi-depot vehicle routing problem with time-windows and heterogeneous fleet. Journal of king saud university-Engineering sciences, Vol. 29(1), pp. 29-34.
Ariyani, A. K., Mahmudy, W. F., and Anggodo, Y. P. (2018). Hybrid Genetic Algorithms and Simulated Annealing for Multi-trip Vehicle Routing Problem with Time Windows. International Journal of Electrical & Computer Engineering (2088-8708), Vol.8, pp. 4713-4723.
Azadeh, A., and Farrokhi-Asl, H. (2019). The close–open mixed multi depot vehicle routing problem considering internal and external fleet of vehicles. Transportation Letters, Vol. 11(2), pp. 78-92.
Babaee Tirkolaee, E., Abbasian, P., Soltani, M., and Ghaffarian, S. A. (2019). Developing an applied algorithm for multi-trip vehicle routing problem with time windows in urban waste collection: A case study. Waste Management & Research, Vol. 37(1_suppl), pp. 4-13.
Bae, H., and Moon, I. (2016). Multi-depot vehicle routing problem with time windows considering delivery and installation vehicles. Applied Mathematical Modelling, Vol.40(13-14), pp. 6536-6549.
Bianchessi, N., Drexl, M., and Irnich, S. (2019). The split delivery vehicle routing problem with time windows and customer inconvenience constraints. Transportation Science, Vol.53(4), pp. 1067-1084.
Chen, J., and Shi, J. (2019). A multi-compartment vehicle routing problem with time windows for urban distribution–A comparison study on particle swarm optimization algorithms. Computers & Industrial Engineering, Vol.133, pp. 95-106.
Desaulniers, G., Errico, F., Irnich, S., and Schneider, M. (2016). Exact algorithms for electric vehicle-routing problems with time windows. Operations Research, Vol.64(6), pp. 1388-1405.
Dharmapriya, U., Siyambalapitiya, S., and Kulatunga, A. (2010, January). Artificial intelligence computational techniques to optimize a multi objective oriented distribution operations. In Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management Dhaka, Bangladesh.
Farrokhi-Asl, H., Makui, A., Ghousi, R., and Rabbani, M. (2019). Designing a sustainable integrated forward/reverse logistics network. Journal of Modelling in Management, Vol.14(4), pp. 896-921.
Farrokhi-Asl, H., Makui, A., Jabbarzadeh, A., and Barzinpour, F. (2018). Solving a multi-objective sustainable waste collection problem considering a new collection network. Operational Research, Vol. 20, pp. 1-39.
Farrokhi-Asl, H., Tavakkoli-Moghaddam, R., Asgarian, B., and Sangari, E. (2017). Metaheuristics for a bi-objective location-routing-problem in waste collection management. Journal of Industrial and Production Engineering, Vol.34(4), pp. 239-252.
Ghannadpour, S. F., Noori, S., Tavakkoli-Moghaddam, R., and Ghoseiri, K. (2014). A multi-objective dynamic vehicle routing problem with fuzzy time windows: Model, solution and application. Applied Soft Computing, Vol.14, pp. 504-527.
Ghomi, S. F., and Asgarian, B. (2019). Development of metaheuristics to solve a transportation inventory location routing problem considering lost sale for perishable goods. Journal of Modelling in Management, Vol. 14(1), pp. 175-198.
Ghoseiri, K., and Ghannadpour, S. F. (2010). A hybrid genetic algorithm for multi-depot homogenous locomotive assignment with time windows. Applied Soft Computing, Vol. 10(1), pp. 53-65.
Guezouli, L., and Abdelhamid, S. (2017). A new multi-criteria solving procedure for multi-depot FSM-VRP with time window. International Journal of Applied Industrial Engineering (IJAIE), Vol. 4(1), pp. 1-18.
Kaboudani, Y., Ghodsypour, S. H., Kia, H., & Shahmardan, A. (2018). Vehicle routing and scheduling in cross docks with forward and reverse logistics. Operational Research, Vol. 20, pp. 1-34.
Kachitvichyanukul, V., Sombuntham, P., and Kunnapapdeelert, S. (2015). Two solution representations for solving multi-depot vehicle routing problem with multiple pickup and delivery requests via PSO. Computers & Industrial Engineering, Vol. 89, pp. 125-136.
Khalili‐Damghani, K., Abtahi, A. R., and Tavana, M. (2014). A decision support system for solving multi‐objective redundancy allocation problems. Quality and Reliability Engineering International, Vol. 30(8), pp. 1249-1262.
Kim, K. C., Sun, J. U., and Lee, S. W. (2013). A HIERARCHICAL APPROACH TO VEHICLE ROUTING AND SCHEDULING WITH SEQUENTIAL SERVICES USING THE GENETIC ALGORITHM. International Journal of Industrial Engineering, Vol. 20, pp. 99-113.
Koç, Ç., Bektaş, T., Jabali, O., and Laporte, G. (2016). The fleet size and mix location-routing problem with time windows: Formulations and a heuristic algorithm. European Journal of Operational Research, Vol. 248(1), pp. 33-51.
Kritikos, M. N., and Ioannou, G. (2010). The balanced cargo vehicle routing problem with time windows. International Journal of Production Economics, Vol. 123(1), pp. 42-51.
Lahyani, R., Coelho, L. C., and Renaud, J. (2018). Alternative formulations and improved bounds for the multi-depot fleet size and mix vehicle routing problem. Or Spectrum, 40(1), 125-157.
Lee, T. R., and Ueng, J. H. (1999). A study of vehicle routing problems with load‐balancing. International Journal of Physical Distribution & Logistics Management, Vol. 29(10), pp. 646-657.
Majidi, S., Hosseini-Motlagh, S. M., Yaghoubi, S., and Jokar, A. (2017). Fuzzy green vehicle routing problem with simultaneous pickup–delivery and time windows. RAIRO-Operations Research, Vol. 51(4), pp. 1151-1176.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, Vol. 213(2), pp. 455-465.
Mavrotas, G., and Florios, K. (2013). An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Applied Mathematics and Computation, Vol. 219(18), pp. 9652-9669.
Molina, J. C., Salmeron, J. L., and Eguia, I. (2020). An ACS-based Memetic algorithm for the Heterogeneous Vehicle Routing Problem with time windows. Expert Systems with Applications, Vol. 157, pp. 113379.
Rabbani, M., Mokhtarzadeh, M., and Farrokhi-Asl, H. (2018). A New Mathematical Model for Designing a Municipal Solid Waste System Considering Environmentally Issues. International Journal of Supply and Operations Management, Vol. 5(3), pp. 234-255.
Rabbani, M., Ramezankhani, M. J., Farrokhi-Asl, H., and Farshbaf-Geranmayeh, A. (2015). Vehicle routing with time windows and customer selection for perishable goods. International Journal of Supply and Operations Management, Vol. 2(2), pp. 700-719.
Capacitated Windy Rural Postman Problem with several vehicles: A hybrid multi-objective simulated annealing algorithm
Rabbouch, B., Saâdaoui, F., and Mraihi, R. (2020). Empirical-type simulated annealing for solving the capacitated vehicle routing problem. Journal of Experimental & Theoretical Artificial Intelligence, Vol. 32(3), pp. 437-452.
Tirkolaee, E. B., Hadian, S., Weber, G. W., and Mahdavi, I. (2020). A robust green traffic‐based routing problem for perishable products distribution. Computational Intelligence, Vol. 36(1), pp. 80-101.
Wang, G., and Bian, W. (2016, July). Vehicle routing problem with simultaneous delivery and pick-up under different weights. In 2016 International Conference on Logistics, Informatics and Service Sciences (LISS) (pp. 1-4). IEEE.
Xiao, Y., Zuo, X., Kaku, I., Zhou, S., and Pan, X. (2019). Development of energy consumption optimization model for the electric vehicle routing problem with time windows. Journal of Cleaner Production, Vol. 225, pp. 647-663.
Yoon, K. P., and Hwang, C. L. (1995). Multiple attribute decision making: an introduction (Vol. 104). Sage publications.