&. ,

Y. P. Aneja and K. P. Nair, Bicriteria transportation problem, Management Science, vol.25, pp.73-78, 1979.

E. Angel, E. Bampis, and L. Gourvès, A dynasearch neighborhood for the dicriteria traveling salesman problem, Lecture Notes in Economics and Mathematical Systems, vol.535, pp.153-176, 2004.

M. Barth and K. Boriboonsomsin, Real-world carbon dioxide impacts of traffic congestion, Transportation Research Record, vol.1, pp.163-171, 2008.

M. Barth, T. Younglove, and G. Scora, Development of a heavy-duty diesel modal emissions and fuel consumption model, 2005.

T. Bekta¸sbekta¸s and G. Laporte, The pollution-routing problem, Transportation Research Part B: Methodological, vol.45, pp.1232-1250, 2011.

S. Chand and M. Wagner, Evolutionary many-objective optimization: A quickstart guide, vol.20, pp.35-42, 2015.
DOI : 10.1016/j.sorms.2015.08.001

S. Dabia, E. Demir, and T. Van-woensel, An exact approach for a variant of the pollution-routing problem, Transportation Science, vol.51, pp.607-628, 2017.

S. Dabia, E. G. Talbi, T. Van-woensel, and T. De-kok, Approximating multiobjective scheduling problems, Computers & Operations Research, vol.40, pp.1165-1175, 2013.
DOI : 10.1016/j.cor.2012.12.001

URL : https://hal.archives-ouvertes.fr/hal-00830040

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, pp.182-197, 2002.
DOI : 10.1109/4235.996017

E. Demir, T. Bekta¸sbekta¸s, and G. Laporte, A comparative analysis of several vehicle emission models for road freight transportation, Transportation Research Part D: Transport and Environment, vol.16, pp.347-357, 2011.

E. Demir, T. Bekta¸sbekta¸s, and G. Laporte, An adaptive large neighborhood search heuristic for the pollution-routing problem, European Journal of Operational Research, vol.223, pp.346-359, 2012.

E. Demir, T. Bekta¸sbekta¸s, and G. Laporte, The bi-objective pollution-routing problem, European Journal of Operational Research, vol.232, pp.464-478, 2014.
DOI : 10.1016/j.ejor.2013.08.002

E. Demir, T. Bekta¸sbekta¸s, and G. Laporte, A review of recent research on green road freight transportation, European Journal of Operational Research, vol.237, pp.775-793, 2014.

G. Desaulniers, O. B. Madsen, and S. Ropke, The vehicle routing problem with time windows, Vehicle Routing: Problems, Methods and Applications, pp.119-159, 2014.

M. Ehrgott, Multicriteria optimization, 2005.

. Berlin/heidelberg,

M. Figliozzi, Vehicle routing problem for emissions minimization, Transportation Research Record: Journal of the Transportation Research Board, vol.2197, pp.1-7, 2010.
DOI : 10.3141/2197-01

C. M. Fonseca, P. J. Fleming, H. M. Voigt, W. Ebeling, and I. Rechenberg, On the performance assessment and comparison of stochastic multiobjective optimizers, The 4th International Conference on Parallel Problem Solving from Nature, pp.584-593, 1996.

A. Franceschetti, E. Demir, D. Honhon, T. Van-woensel, G. Laporte et al., A metaheuristic for the time-dependent pollution-routing problem, European Journal of Operational Research, vol.259, pp.972-991, 2017.
DOI : 10.1016/j.ejor.2016.11.026

URL : http://orca.cf.ac.uk/96824/1/ALNST_submission_3.pdf

A. Franceschetti, D. Honhon, T. Van-woensel, T. Bekta¸sbekta¸s, and G. Laporte, The time-dependent pollution-routing problem, Transportation Research Part B: Methodological, vol.56, pp.265-293, 2013.
DOI : 10.1016/j.trb.2013.08.008

R. Fukasawa, Q. He, F. Santos, and Y. Song, A joint routing and speed optimization problem, 2017.
DOI : 10.1287/ijoc.2018.0810

R. Fukasawa, Q. He, and Y. Song, A branch-cut-and-price algorithm for the energy minimization vehicle routing problem, Transportation Science, vol.50, pp.23-34, 2016.
DOI : 10.1287/trsc.2015.0593

R. Fukasawa, Q. He, and Y. Song, A disjunctive convex programming approach to the pollution-routing problem, Transportation Research Part B: Methodological, vol.94, pp.61-79, 2016.
DOI : 10.1016/j.trb.2016.09.006

X. Gandibleux, M. Sevaux, K. Sörensen, and . T'kindt, Metaheuristics for Multiobjective Optimisation, Lecture Notes in Economics and Mathematical Systems, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00078087

R. L. Graham, An efficient algorithm for determining the convex hull of a finite planar set, Information Processing Letters, vol.1, pp.132-133, 1972.

S. Holm, A simple sequentially rejective multiple test procedure, Scandinavian Journal of Statistics, vol.6, pp.65-70, 1979.

, CO 2 emissions from fuel combustion: Overview, IEA, 2017.

O. Jabali, T. Van-woensel, and A. G. De-kok, Analysis of travel times and co 2 emissions in time-dependent vehicle routing. Production and Operations Management 21, pp.1060-1074, 2012.

A. Jaszkiewicz, Genetic local search for multi-objective combinatorial optimization, European Journal of Operational Research, vol.137, pp.50-71, 2002.
DOI : 10.1016/s0377-2217(01)00104-7

A. Jaszkiewicz, On the performance of multiple-objective genetic local search on the 0/1 knapsack problem-a comparative experiment, IEEE Transactions on Evolutionary Computation, vol.6, pp.402-412, 2002.

J. Jemai, M. Zekri, and K. Mellouli, An NSGA-II algorithm for the green vehicle routing problem, in: Evolutionary computation in combinatorial optimization, pp.37-48, 2012.

J. D. Knowles, L. T. Zitzler, and E. , A Tutorial on the performance assessment of stochastic multiobjective optimizers, 2006.

J. Knowles, A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), pp.552-557, 2005.

C. ¸. Koç, T. Bekta¸sbekta¸s, O. Jabali, and G. Laporte, The fleet size and mix pollutionrouting problem, Transportation Research Part B: Methodological, vol.70, pp.239-254, 2014.

H. Kopfer and H. Kopfer, Emissions minimization vehicle routing problem in dependence of different vehicle classes, Dynamics in Logistics, pp.49-58, 2013.

H. W. Kopfer, J. Schönberger, and H. Kopfer, Reducing greenhouse gas emissions of a heterogeneous vehicle fleet, Flexible Services and Manufacturing Journal, vol.26, pp.221-248, 2014.

R. Kramer, N. Maculan, A. Subramanian, and T. Vidal, A speed and departure time optimization algorithm for the pollution-routing problem, European Journal of Operational Research, vol.247, pp.782-787, 2015.
DOI : 10.1016/j.ejor.2015.06.037

URL : http://arxiv.org/pdf/1501.05354

R. Kramer, A. Subramanian, T. Vidal, and L. A. Cabral, A matheuristic approach for the pollution-routing problem, European Journal of Operational Research, vol.243, pp.523-539, 2015.

R. S. Kumar, K. Kondapaneni, V. Dixit, A. Goswami, L. Thakur et al., Multi-objective modeling of production and pollution routing problem with time window: A self-learning particle swarm optimization approach, Computers & Industrial Engineering, vol.99, pp.29-40, 2016.

Y. Kuo, Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem, Computers & Industrial Engineering, vol.59, pp.157-165, 2010.

C. Lin, K. Choy, G. Ho, S. Chung, and H. Lam, Survey of green vehicle routing problem: Past and future trends, Expert Systems with Applications, vol.41, pp.1118-1138, 2014.

H. R. Lourenço, O. C. Martin, and T. Stützle, Iterated local search: Framework and applications, Handbook of Metaheuristics, vol.146, pp.363-397, 2010.

T. Lust, New metaheuristics for solving MOCO problems: Application to the knapsack problem, the traveling salesman problem and IMRT optimization, 2009.

T. Lust and J. Teghem, Two-phase pareto local search for the biobjective traveling salesman problem, Journal of Heuristics, vol.16, pp.475-510, 2009.

T. Lust and J. Teghem, The multiobjective multidimensional knapsack problem: A survey and a new approach, International Transactions in Operational Research, vol.19, pp.495-520, 2012.

T. Lust and D. Tuyttens, Variable and large neighborhood search to solve the multiobjective set covering problem, Journal of Heuristics, vol.20, pp.165-188, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01170026

E. Q. Martins, On a multicriteria shortest path problem, European Journal of Operational Research, vol.16, pp.236-245, 1984.

J. C. Molina, I. Eguia, J. Racero, and F. Guerrero, Multi-objective vehicle routing problem with cost and emission functions, Procedia-Social and Behavioral Sciences, vol.160, pp.254-263, 2014.

L. Paquete, M. Chiarandini, and T. Stützle, Pareto local optimum sets in the biobjective traveling salesman problem: An experimental study, Lecture Notes in Economics and Mathematical Systems, vol.535, pp.177-199, 2004.

L. Paquete, T. Stützle, C. M. Fonseca, P. J. Fleming, E. Zitzler et al., A two-phase local search for the biobjective traveling salesman problem, Lecture Notes in Computer Science, vol.2632, pp.479-493, 2003.

P. H. Penna, A. Subramanian, and L. S. Ochi, An iterated local search heuristic for the heterogeneous fleet vehicle routing problem, Journal of Heuristics, vol.19, pp.201-232, 2013.

A. Przybylski, X. Gandibleux, and M. Ehrgott, Two phase algorithms for the bi-objective assignment problem, European Journal of Operational Research, vol.185, pp.509-533, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00461989

. R-core-team, R: A language and environment for statistical computing. R Foundation for Statistical Computing, 2015.

A. Sbihi and R. W. Eglese, Combinatorial optimization and green logistics, 4OR, vol.5, pp.99-116, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00644111

W. S. Siu, C. K. Chan, and H. C. Chan, Green cargo routing using genetic algorithms, Proceedings of the internacional multiconference of engineers and compute scientists, pp.12-17, 2012.

M. Soysal, J. M. Bloemhof-ruwaard, and T. Bekta¸sbekta¸s, The time-dependent twoechelon capacitated vehicle routing problem with environmental considerations, International Journal of Production Economics, vol.164, pp.366-378, 2015.

P. Toth and D. Vigo, The Vehicle Routing Problem, 2002.
URL : https://hal.archives-ouvertes.fr/hal-01223571

T. Vidal, T. G. Crainic, M. Gendreau, and C. Prins, A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows, Computers & Operations Research, vol.40, pp.475-489, 2013.

Y. Xiao, Q. Zhao, I. Kaku, and Y. Xu, Development of a fuel consumption optimization model for the capacitated vehicle routing problem, Computers & Operations Research, vol.39, pp.1419-1431, 2012.

E. Zitzler, Evolutionary algorithms for multiobjective optimization: Methods and applications, 1999.

E. Zitzler, K. Deb, and L. Thiele, Comparison of multiobjective evolutionary algorithms: Empirical results, Evolutionary Computation, vol.8, pp.173-195, 2000.

E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert, Performance assessment of multiobjective optimizers: An analysis and review, IEEE Transactions on Evolutionary Computation, vol.7, pp.117-132, 2003.