- علینقیان، مهدی، صباغ، محمدسعید و تیرکلایی، عرفان. (1394)" مسأله مسیریابی کمان ظرفیتدار با تقاضای فازی به همراه مطالعه موردی"، فصلنامه مهندسی حمل و نقل، سال هفتم، شماره دوم، ص. 277-296.
- توکلی مقدم، رضا، علینقیان، مهدی و سلامت بخش، علیرضا. (1395)"مسأله مسیریابی وسائط نقلیه دورهای با پنجره زمانی در حالت رقابتی با الگوریتم شبیهسازی تبرید بهبودیافته"، فصلنامه مهندسی حمل و نقل، دوره پیجم، شماره 4، ص. 449-470
- علینقیان، م. و نادری پور، م. (1395)" کاهش مصرف سوخت در مسیریابی وسایل نقلیه با درنظرگرفتن ترافیک شهری"، فصلنامه مهندسی حمل و نقل، سال هفتم، شماره سوم، ص. 499-522.
- سلامت بخش ورجوی، علیرضا، توکلی مقدم، رضا، علینقیان، مهدی و نجفی، اسماعیل. (1396)" رویکرد استوار سناریو محور برای مساله مسیریابی وسایط نقلیه تحت شرایط رقابتی با استفاده از الگوریتم تکامل تفاضلی بهبودیافته"، فصلنامه مهندسی حمل و نقل.، دوره 10، شماره 4، ص. 877-908
- Babaee Tirkolaee, E., Alinaghian, M., Bakhshi Sasi, M. and Seyyed Esfahani, M. M. (2016) “Solving a robust capacitated arc routing problem using a hybrid simulated annealing algorithm: a waste collection application”, Journal of Industrial Engineering and Management Studies, Vol. 3, No.1, pp. 61-76.
- Bektaş, T. and Laporte, G. (2011) “The pollution-routing problem”, Transportation Research Part B: Methodological, Vol. 45, No. 8, pp. 1232-1250.
- Bektas, T., Demir, E. and Laporte, G. (2016) “Green vehicle routing. In: Green Transportation Logistics”, Springer International Publishing, Europe: Psaraftis, Harilaos N. (Ed.), pp. 243–265.
- Chen, H. K., Hsueh, C. F. and Chang, M. S. (2009) “Production scheduling and vehicle routing with time windows for perishable food products”, Computers and operations research, Vol. 36 No.7, pp. 2311-2319.
- Dekker, R., Bloemhof, J. and Mallidis, I. (2012) “Operations research for green logistics - An overview of aspects, issues, contributions and challenges”, European Journal of Operational Research, Vol. 219 No.4, pp. 671–679.
- Demir, E., Bektas, T. and Laporte, G. (2014) “A review of recent research on green road freight transportation”, Eur. J. Oper. Res. Vol. 237 No. 3, pp. 775–793.
- Demir, E., Bektaş, T. and Laporte, G. (2014) “The bi-objective pollution-routing problem”, European Journal of Operational Research, Vol. 232 No.3, pp. 464-478.
- Ericsson, E., Larsson, H. and Brundell-Freij, K. (2006) “Optimizing route choice for lowest fuel consumption–potential effects of a new driver support tool”, Transportation Research Part C: Emerging Technologies, Vol.14, No.6, pp. 369-383.
- Jabbarpour, M. R., Noor, R. M. and Khokhar, R. H. (2015) “Green vehicle traffic routing system using ant-based algorithm”, Journal of Network and Computer Applications, Vol. 58, No. 3, pp.294-308.
- Koç, Ç., Bektaş, T., Jabali, O. and Laporte, G. (2016) “The impact of depot location, fleet composition and routing on emissions in city logistics”, Transportation Research Part B: Methodological, Vol. 84, No. 4, pp. 81-102.
- Lin, C., Choy, K. L., Ho, G. T., Chung, S. H. and Lam, H. Y. (2014) "Survey of green vehicle routing problem: past and future trends", Expert Systems with Applications, Vol. 41, No. 4, pp. 1118-1138.
- Maden, W., Eglese, R. and Black, D. (2010) “Vehicle routing and scheduling with time-varying data: A case study”, Journal of the Operational Research Society, Vol. 61, No.3, pp. 515-522.
- Mirmohammadi, S. H., Babaee Tirkolaee, E., Goli, A. and Dehnavi-Arani, S. (2017) “The periodic green vehicle routing problem with considering of time-dependent urban traffic and time window”, Iran University of Science and Technology, Vol.7, No.1, pp.143-156.
- McKinnon, A., Browne, M., Whiteing, A. and Piecyk, M. (Eds.). (2015) “Green logistics: Improving the environmental sustainability of logistics”, United States: Kogan Page Publishers.
- Narzt, W., Wilflingseder, U., Pomberger, G., Kolb, D. and Hörtner, H. (2010). Self-organising congestion evasion strategies using ant-based pheromones. IET Intelligent Transport Systems, 4(1), pp. 93-102.
- Song, B. D. and Ko, Y. D. (2016) “A vehicle routing problem of both refrigerated-and general-type vehicles for perishable food products delivery”, Journal of Food Engineering, Vol. 169, No. 4, pp. 61-71.
- Tavares, G., Zsigraiova, Z., Semiao, V. and da Graça Carvalho, M. (2008) “A case study of fuel savings through optimisation of MSW transportation routes”, Management of Environmental Quality: An International Journal, Vol. 19, No. 4, pp. 444-454.
- Tirkolaee, E. B., Goli, A., Bakhsi, M. and Mahdavi, I. (2017) “A robust multi-trip vehicle routing problem of perishable products with intermediate depots and time windows”, Numerical Algebra, Control and Optimization, Vol. 7, No. 4, pp. 417-433.
- Tirkolaee, E. B., Alinaghian, M., Hosseinabadi, A. A. R., Sasi, M. B. and Sangaiah, A. K. (2018) “An improved ant colony optimization for the multi-trip Capacitated Arc Routing Problem”, Computers and Electrical Engineering, in press.
- Tirkolaee, E. B., Mahdavi, I. and Esfahani, M. M. S. (2018) “A robust periodic capacitated arc routing problem for urban waste collection considering drivers and crew’s working time”, Waste Management, Vol. 76, pp. 138-146.
- Velázquez-Martínez, J. C., Fransoo, J. C., Blanco, E. E. and Valenzuela-Ocaña, K. B. (2016) “A new statistical method of assigning vehicles to delivery areas for CO2 emissions reduction”, Transportation Research Part D: Transport and Environment, Vol. 43 No. 7, pp. 133-144.
- Xiao, Y. Zhao, Q., Kaku, I. and Xu, Y. (2012) “Development of a fuel consumption optimization model for the capacitated vehicle routing problem”, Computers and Operations Research, Vol. 39, No. 7, pp. 1419-1431.
- Xiao, Y. and Konak, A. (2015) “A simulating annealing algorithm to solve the green vehicle routing and scheduling problem with hierarchical objectives and weighted tardiness” Applied Soft Computing, Vol. 34, No.3, pp. 372-388.
- Xiao, Y. and Konak, A. (2016) “The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion”, Transportation Research Part E: Logistics and Transportation Review, Vol. 88, No. 3, pp. 146-166.
- Zhang, J., Zhao, Y., Xue, W. and Li, J. (2015). “Vehicle routing problem with fuel consumption and carbon emission”. International Journal of Production Economics, Vol. 170, pp. 234-242.