-B.-L. Garcia, J.-Y. Potvin, J.-M. Rousseau, (1994), “A parallel implementation of the tabu search heuristic for vehicle routing problems with time window constraints”, Computers Ops. Res., 21, pp.1025-1033.
-Bertsimas, D. J., (1992), “A vehicle routing problem with stochastic demand”, Oper. Res. 40(3), pp.574–585.
|
|
- Campbell, A. M. and B. W. Thomas, (2008), “Probabilistic traveling salesman problem with deadlines”, Transportation Science, 42 (1), pp.1 – 21.
|
|
- Clara M. Novoa and Robert Storer, (2009), “An approximate dynamic programming approach for the vehicle routing problem with stochastic demands”, European Journal of Operational Research, 196(2), pp.509–515.
|
- Cock Bastian and Alexander H. G. Rinnooy Kan., (1992), “The stochastic vehicle routing problem revisited”, European Journal of Operational Research, 56 (3), pp.407-412.
|
|
- Defra, (2012), “Guidelines to Defra/DECC’s GHG conversion factors for company reporting: methodology paper for emission factors”. Technical report, Department for Environment, Food and Rural Affairs, UK.
|
|
- Demir, E., Bekta¸s, T. e Laporte, G., (2014), “A review of recent research on green road freight transportation”, European Journal of Operational Research, v. pp.237,775-793.
|
|
- Demir, E., Bekta¸s, T. e Laporte, G., (2014), “The bi-objective pollution-routing problem”, European Journal of Operational Research, v. 232, n. 3, pp. 464 – 478.
|
|
- El Hachemi N, Gendreau M, Rousseau LM (2013), “A heuristic to solve the synchronized log-truck scheduling problem”, Computers & Operations Research ,40(3), pp.666–673.
|
|
- Forbes, M.A., Holt, J.N. & Watts, A. M. (1994), “An Exact Algorithm for Multiple Depot Bus Scheduling”. European Journal of Operational Research, vol. 72, pp.115- 124.
|
- Guo Y.N, Cheng J, Luo S, Gong D.W., (2017), “Robust Dynamic Multi-objective Vehicle Routing Optimization Method”. IEEE/ACM Trans Comput Biol Bioinform.
|
|
- Ioannou, G., M. Kritikos and G. Prastacos (2001), “A Greedy Look-Ahead Heuristic for the Vehicle Routing Problem with Time Windows”, Journal of the Operational Research Society, 52, pp.523−537.
|
|
- M. Dror, G. Laporte, and P. Trudeau., (1989), “Vehicle routing with stochastic demands: properties and solutions frameworks”, Transportation Science, 23, pp.166–176.
|
|
- Malandraki, C., (1989), “Time Dependent Vehicle Routing Problems: Formulations, Solution Algorithms and Computational Experiments”, Ph.D. Dissertation, Northwestern University, Evanston, Illinois.
|
|
- Parragh S, Doerner K, and Hartl R., (2008), “A survey on pickup and delivery problems Part I: Transportation between customers and depot”, Journal für Betriebswirtschaft, 58, pp.21-51.
|
|
- R. Eglese, T. Bektaş, “Green vehicle routing In: Toth P., Vigo D. (Eds.), Vehicle Routing: Problems”, Methods, and Applications, 18, SIAM (2014), pp. 437-458.
|
|
- S.H. Zegordi and M.A. Beheshti nia., (2009), “A multi-population genetic algorithm for transportation scheduling”, Transportation Research Part E , 45 (6), pp.946-959.
|
|
- Sam Thangiah, (1995), “Vehicle routing with time windows using genetic algorithms. In Application Handbook of Genetic Algorithms”: CRC Press, Boca Raton, New Frontiers, Volume II, pp.253−277.
|
|
- Solomon, M.M., (1987), “Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints”, Operations Research, 35, pp.254−265.
|
|
- Stewart, W. R. and B. L. Golden, (1983), “Stochastic Vehicle Routing: A Comprehensive Approach”, European J. Oper. Res. 14, pp.371-385.
|
|
- Xiao, Yiyong and Konak, Abdullah, (2016), “The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion”, Transportation Research Part E Logistics and Transportation Review, 88, pp.146-166.
|
|
-A. Franceschetti, D. Honhon, T. Van Woensel, T. Bektas, and G. Laporte, (2013), “The time-dependent pollution-routing problem”, Transportation Research Part B: Methodological, 56, 265–293.
|
|
-Bae .H, and Moon. I., (2016), “Multi-depot vehicle routing problem with time windows considering delivery and installation vehicles”, Appl. Math. Model, 40, pp.6536–6549.
|
|
-Bae T.S., Hwang H.S., Cho G, S., & Goan M.J., (2007), “Integrated GA-VRP solver for multi-depot system”, Computers & Industrial Engineering, 53, pp.233-240.
|
|
|
|
-C.A. Kontovas, (2014), “The green ship routing and scheduling problem (GSRSP)”,
A conceptual approach, Transportation Research Part D: Transport and Environment, 31, pp.61-69.
|
|
-Christofides, N., Mingozzi, A., Toth, P. (1979), “The vehicle routing problem”, In: Christofides, N., Mingozzi, A., Toth, P., Sandi, C. (Eds.), Combinatorial Optimization. Vol. 1. Wiley Interscience, pp. 315–338.
|
|
-Dantzig, G. and Ramser, J., (1959), "The Truck Dispatching Problem", Management Science, 6, pp.80-91.
|
|
-E. Demir, T. Bektaş, G. Laporte, (2011), “A comparative analysis of several vehicle emission models for road freight transport”, Transportation Research Part D, 16,
pp.347-357.
|
|
-Gendreau, M, G Laporte and R Seguin (1996), “Stochastic vehicle routing”. European Journal of Operational Research, 88, pp.3–12.
|
|
|
-Golden, Bruce L., Raghavan, S., Wasil, Edward A., (2008), "The Vehicle Routing Problem", Latest Advances and New Challenges, springer.
|
|
|
|
-L. D. Bodin and B. L. Golden, (1981), “Classification in Vehicle Routing and Scheduling”, Networks, 11(2), pp.97-108.
|
|
-Laporte, G., (1992), “The vehicle routing problem: An overview of exact and approximate algorithms”, European Journal of Operational Research, 59(3), pp.345-358.
|
-Laporte, G.,Gendreau, M., Potvin, J. Y., Semet, F., (2000), “Classical and modern heuristics for the vehicle routing problem”, International Transactions in Operational Research,7(4-5), pp.285-300.
|
-Nicola Secomandi and François Margot. (2009), “Re-optimization Approaches for the Vehicle-Routing Problem with Stochastic Demands”, Operations Research, 57(1), pp.214-230.
|
|
-Parragh S, Doerner K, and Hartl R., (2008), “A survey on pickup and delivery problems Part II: Transportation between pickup and delivery locations”. Journal für Betriebswirtschaft, 58, pp.81-117.
|
-Psaraftis H.N., (1995), “Dynamic vehicle routing: status and prospect”, Annals of Operations Research, 61, pp.143-164.
|
|
-Rodrigue, J-P, B. Slack and C. Comtois (2013), "Green Supply Chain Management", in J-P Rodrigue, T. Notteboom and J. Shaw (eds) The Sage Handbook of Transport Studies, London: Sage.
|
-SOLOMON, M., (1983), “Vehicle Routing and Scheduling with Time Window Constraints: Models and Algorithms”, Ph.D. Dissertation, Dept. of Decision Sciences, University of Pennsylvania.
|
|
|
|
-Toth, P and Vigo, D., (2002), “The Vehicle Routing Problem”, SIAM.
|
|
-Toth, P and Vigo, D., (2014), “Vehicle Routing: Problems”, Methods, and Applications, Second Edition, SIAM.
|
|
-Van Landeghem, H.R.G., (1988),
“A Bi-criteria Heuristic for the Vehicle Routing Problem with Time Windows”, European Journal of Operations Research, 36, pp.217−226.
|
|
-Van Woensel, T., Creten, R., & Vandaele, N., (2001), “Managing the environmental externalities of traffic logistic”s: The issue of emissions, Production and Operations Management, 10(2), pp. 207–223.
|
|
-Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C., (2013), “A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows”, Computers & Operations Research, 40(1), pp.475–489.
|
|
-Y. Xiao, Q. Zhao, I. Kaku, Y. Xu., (2012), “Development of a fuel consumption optimization model for the capacitated vehicle routing problem”, Computers & Operations Research, 39, pp.1419-1431.
|
|
-B.-L. Garcia, J.-Y. Potvin, J.-M. Rousseau, (1994), “A parallel implementation of the tabu search heuristic for vehicle routing problems with time window constraints”, Computers Ops. Res., 21, pp.1025-1033.
|
-Bertsimas, D. J., (1992), “A vehicle routing problem with stochastic demand”, Oper. Res. 40(3), pp.574–585.
|
|
- Campbell, A. M. and B. W. Thomas, (2008), “Probabilistic traveling salesman problem with deadlines”, Transportation Science, 42 (1), pp.1 – 21.
|
|
- Clara M. Novoa and Robert Storer, (2009), “An approximate dynamic programming approach for the vehicle routing problem with stochastic demands”, European Journal of Operational Research, 196(2), pp.509–515.
|
- Cock Bastian and Alexander H. G. Rinnooy Kan., (1992), “The stochastic vehicle routing problem revisited”, European Journal of Operational Research, 56 (3), pp.407-412.
|
|
- Defra, (2012), “Guidelines to Defra/DECC’s GHG conversion factors for company reporting: methodology paper for emission factors”. Technical report, Department for Environment, Food and Rural Affairs, UK.
|
|
- Demir, E., Bekta¸s, T. e Laporte, G., (2014), “A review of recent research on green road freight transportation”, European Journal of Operational Research, v. pp.237,775-793.
|
|
- Demir, E., Bekta¸s, T. e Laporte, G., (2014), “The bi-objective pollution-routing problem”, European Journal of Operational Research, v. 232, n. 3, pp. 464 – 478.
|
|
- El Hachemi N, Gendreau M, Rousseau LM (2013), “A heuristic to solve the synchronized log-truck scheduling problem”, Computers & Operations Research ,40(3), pp.666–673.
|
|
- Forbes, M.A., Holt, J.N. & Watts, A. M. (1994), “An Exact Algorithm for Multiple Depot Bus Scheduling”. European Journal of Operational Research, vol. 72, pp.115- 124.
|
- Guo Y.N, Cheng J, Luo S, Gong D.W., (2017), “Robust Dynamic Multi-objective Vehicle Routing Optimization Method”. IEEE/ACM Trans Comput Biol Bioinform.
|
|
- Ioannou, G., M. Kritikos and G. Prastacos (2001), “A Greedy Look-Ahead Heuristic for the Vehicle Routing Problem with Time Windows”, Journal of the Operational Research Society, 52, pp.523−537.
|
|
- M. Dror, G. Laporte, and P. Trudeau., (1989), “Vehicle routing with stochastic demands: properties and solutions frameworks”, Transportation Science, 23, pp.166–176.
|
|
- Malandraki, C., (1989), “Time Dependent Vehicle Routing Problems: Formulations, Solution Algorithms and Computational Experiments”, Ph.D. Dissertation, Northwestern University, Evanston, Illinois.
|
|
- Parragh S, Doerner K, and Hartl R., (2008), “A survey on pickup and delivery problems Part I: Transportation between customers and depot”, Journal für Betriebswirtschaft, 58, pp.21-51.
|
|
- R. Eglese, T. Bektaş, “Green vehicle routing In: Toth P., Vigo D. (Eds.), Vehicle Routing: Problems”, Methods, and Applications, 18, SIAM (2014), pp. 437-458.
|
|
- S.H. Zegordi and M.A. Beheshti nia., (2009), “A multi-population genetic algorithm for transportation scheduling”, Transportation Research Part E , 45 (6), pp.946-959.
|
|
- Sam Thangiah, (1995), “Vehicle routing with time windows using genetic algorithms. In Application Handbook of Genetic Algorithms”: CRC Press, Boca Raton, New Frontiers, Volume II, pp.253−277.
|
|
- Solomon, M.M., (1987), “Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints”, Operations Research, 35, pp.254−265.
|
|
- Stewart, W. R. and B. L. Golden, (1983), “Stochastic Vehicle Routing: A Comprehensive Approach”, European J. Oper. Res. 14, pp.371-385.
|
|
- Xiao, Yiyong and Konak, Abdullah, (2016), “The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion”, Transportation Research Part E Logistics and Transportation Review, 88, pp.146-166.
|
|
-A. Franceschetti, D. Honhon, T. Van Woensel, T. Bektas, and G. Laporte, (2013), “The time-dependent pollution-routing problem”, Transportation Research Part B: Methodological, 56, 265–293.
|
|
-Bae .H, and Moon. I., (2016), “Multi-depot vehicle routing problem with time windows considering delivery and installation vehicles”, Appl. Math. Model, 40, pp.6536–6549.
|
|
-Bae T.S., Hwang H.S., Cho G, S., & Goan M.J., (2007), “Integrated GA-VRP solver for multi-depot system”, Computers & Industrial Engineering, 53, pp.233-240.
|
|
|
|
-C.A. Kontovas, (2014), “The green ship routing and scheduling problem (GSRSP)”,
A conceptual approach, Transportation Research Part D: Transport and Environment, 31, pp.61-69.
|
|
-Christofides, N., Mingozzi, A., Toth, P. (1979), “The vehicle routing problem”, In: Christofides, N., Mingozzi, A., Toth, P., Sandi, C. (Eds.), Combinatorial Optimization. Vol. 1. Wiley Interscience, pp. 315–338.
|
|
-Dantzig, G. and Ramser, J., (1959), "The Truck Dispatching Problem", Management Science, 6, pp.80-91.
|
|
-E. Demir, T. Bektaş, G. Laporte, (2011), “A comparative analysis of several vehicle emission models for road freight transport”, Transportation Research Part D, 16,
pp.347-357.
|
|
-Gendreau, M, G Laporte and R Seguin (1996), “Stochastic vehicle routing”. European Journal of Operational Research, 88, pp.3–12.
|
|
|
-Golden, Bruce L., Raghavan, S., Wasil, Edward A., (2008), "The Vehicle Routing Problem", Latest Advances and New Challenges, springer.
|
|
|
|
-L. D. Bodin and B. L. Golden, (1981), “Classification in Vehicle Routing and Scheduling”, Networks, 11(2), pp.97-108.
|
|
-Laporte, G., (1992), “The vehicle routing problem: An overview of exact and approximate algorithms”, European Journal of Operational Research, 59(3), pp.345-358.
|
-Laporte, G.,Gendreau, M., Potvin, J. Y., Semet, F., (2000), “Classical and modern heuristics for the vehicle routing problem”, International Transactions in Operational Research,7(4-5), pp.285-300.
|
-Nicola Secomandi and François Margot. (2009), “Re-optimization Approaches for the Vehicle-Routing Problem with Stochastic Demands”, Operations Research, 57(1), pp.214-230.
|
|
-Parragh S, Doerner K, and Hartl R., (2008), “A survey on pickup and delivery problems Part II: Transportation between pickup and delivery locations”. Journal für Betriebswirtschaft, 58, pp.81-117.
|
-Psaraftis H.N., (1995), “Dynamic vehicle routing: status and prospect”, Annals of Operations Research, 61, pp.143-164.
|
|
-Rodrigue, J-P, B. Slack and C. Comtois (2013), "Green Supply Chain Management", in J-P Rodrigue, T. Notteboom and J. Shaw (eds) The Sage Handbook of Transport Studies, London: Sage.
|
-SOLOMON, M., (1983), “Vehicle Routing and Scheduling with Time Window Constraints: Models and Algorithms”, Ph.D. Dissertation, Dept. of Decision Sciences, University of Pennsylvania.
|
|
|
|
-Toth, P and Vigo, D., (2002), “The Vehicle Routing Problem”, SIAM.
|
|
-Toth, P and Vigo, D., (2014), “Vehicle Routing: Problems”, Methods, and Applications, Second Edition, SIAM.
|
|
-Van Landeghem, H.R.G., (1988),
“A Bi-criteria Heuristic for the Vehicle Routing Problem with Time Windows”, European Journal of Operations Research, 36, pp.217−226.
|
|
-Van Woensel, T., Creten, R., & Vandaele, N., (2001), “Managing the environmental externalities of traffic logistic”s: The issue of emissions, Production and Operations Management, 10(2), pp. 207–223.
|
|
-Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C., (2013), “A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows”, Computers & Operations Research, 40(1), pp.475–489.
|
|
-Y. Xiao, Q. Zhao, I. Kaku, Y. Xu., (2012), “Development of a fuel consumption optimization model for the capacitated vehicle routing problem”, Computers & Operations Research, 39, pp.1419-1431.
|
|
|
)