- سلامت بخش، علیرضا، توکلی مقدم، رضا و نوروزی، نرگس (1394) " مسأله مسیریابی وسایل نقلیه باز با در نظر گرفتن رضایت رانندگان:الگوریتم تکاملی چند هدفه بر مبنای تجزیه"، فصلنامه مهندسی حمل و نقل، سال هفتم، شماره سوم، ص. 449-462.
- عشقی، کوروش و کریمی نسب، مهدی (1391)" بهینه سازی ترکیبی و الگوریتم های فرا ابتکاری"، تهران،انتشارات آذرین مهر.
- Alinaghian, M. and Shokouhi, N. (2017) “Multi-depot multi-compartment vehicle routing problem, solved by a hybrid adaptive large neighborhood search”, Omega.
- Belhaiza, S., Hansen, P. and Aporte,G. (2014) “A hybrid variable neighborhood tabu search heuristic for the vehicle Routing problem with multiple time windows”, Computers & Operations Research, Vol 52, pp. 269–281
- Carlos, A., Coello, C., Lamont, Gary, B and Van Veldhuizen, David, A. (2007) “Evolutionary algorithms for solving multi-objective problems”, Second Edition, Springer Science, Business Media, LLC.
- CanhongLinK, L., Choy, G., Hos, H. and Chung, H.Y. (2014) ”Survey of green vehicle routing problem: past and future trends”, Expert Systems with Applications, Vol. 41, Issue 4, Part 1, pp. 1118-1138.
- Dantzig, G. and Ramser, J. (1959) “The truck dispatching problem”, Management Science. Vol. 6, No. 1, pp. 80-91.
- Dhahri, A., Mjirda, A., Zidi, K. and Ghedira, Kh. (2016) “A VNS-based heuristic for solving the vehicle routing problem with time windows and vehicle preventive maintenance constraints”,Procedia Computer Science, Vol. 80, pp. 1212–1222.
- Deb, K. and Pratap, A. (2002) “A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. IEEE Transactions Evolutionery Computation.
- Emami, S. B., Ghandehari, M. and Sajadi, S. M. (2014) “A new mathematical model for locating distribution centres for attracting more retailers”, International Journal of Productivity and Quality Management, Vol. 14, No.2, pp.166-178.
- Golden, B., Assad, A., Levy, L. and Gheysens, F. (1984) “The fleet size and mix vehicle routing problem”, Computers and Operations Research; Vol.11, pp.49–66.
- Ganjavi, N., Tavakkoli Moghaddam, R. and Sajadi, S. M. (2015) “Modelling and solving of a lot sizing problem for multiple items and multiple periods with shortage”, International Journal of Services and Operations Management Vol. 20, No. 1. pp. 102-117
- Hamidihesarsorkh, A., Papi, A., Bonyadi Naeini, A. and Jabarzadeh, A. (2017) “Discovering groups of key potential customers in social networks: A multi-objective optimization model”, International Journal of Industrial Engineering & Production Research, Vol. 28, Issue 1., pp. 85-95
- Jiang, J., Kim, K., Wong-K. and Teo,M. (2014) “Vehicle routing problem with a heterogeneous fleet and time windows”, Expert Systems with Applications, Vol. 41, Issue 8, pp. 3748-3760.
- Kourank Beheshti, A., Hejazi, S. R. and Alinaghian, M. (2015) “The vehicle routing problem with multiple prioritized time windows: A case study”, Computers & Industrial Engineering Vol. 90, pp.402–413.
- Matei, O., Petrică, C., LaszloSas, P.J. and Chira-C. (2015) “An improved immigration memetic algorithm for solving the heterogeneous fixed fleet vehicle routing problem”, Neurocomputing, Vol. 150, Part A, pp. 58-66.
- MouraMiranda, D. and VieiraConceição, S. (2016) “The vehicle routing problem with hard time windows and stochastic travel and service time”, Expert Systems with Applications, Vol. 64, pp. 104-116.
- Necula, R., Breaban, M. and Raschip, M. (2017) “Tackling dynamic vehicle routing problem with time windows by means of Ant Colony System”, IEEE Congress on Evolutionary Computation (CEC).
- Toth, Paolo and Vigo, Daniele (2002) “The vehicle routing problem” by Society for Industrial and Applied Mathematics.
- Qi, Y, Hou, Z., Li, H.,Huang, J. andLi, N. (2015)“A decomposition based memetic algorithm for multi-objective vehicle routing problem with time windows”
Computers & Operations Research,
Vol. 62, pp. 61-77.
- Tan, L., Lin, F. and Wang, H. (2015) “Two solution representations for solving multi-depot vehicle routing problem with multiple pickup and delivery requests via PSO” Neurocomputing, , Vol. 151, Part 3, pp. 1208-1215.
- Taguchi, G. and Konishi, S. (1987) “Taguchi Methods, orthogonal arrays and linear graphs, tools for quality American supplier institute”, American Supplier Institute; pp. 8-35. System” IEEE Congress on Evolutionary Computation (CEC).