How to cite this paper
Hammouti, I., Derqaoui, K & Merouani, M. (2023). A modified clustering search based genetic algorithm for the proactive electric vehicle routing problem.International Journal of Industrial Engineering Computations , 14(4), 609-622.
Refrences
Afroditi, A., Boile, M., Theofanis, S., Sdoukopoulos, E., & Margaritis, D. (2014). Electric Vehicle Routing Problem with Industry Constraints: Trends and Insights for Future Research. Transportation Research Procedia, 3, 452–459. https://doi.org/10.1016/j.trpro.2014.10.026
Allahviranloo, M., Chow, J. Y. J., & Recker, W. W. (2014). Selective vehicle routing problems under uncertainty without recourse. Transportation Research Part E: Logistics and Transportation Review, 62, 68–88. https://doi.org/10.1016/j.tre.2013.12.004
Cao, E., Gao, R., & Lai, M. (2018). Research on the vehicle routing problem with interval demands. Applied Mathematical Modelling, 54, 332–346. https://doi.org/10.1016/j.apm.2017.09.050
Chaves, A. A., & Lorena, L. A. N. (2010). Clustering search algorithm for the capacitated centered clustering problem. Computers & Operations Research, 37(3), Article 3. https://doi.org/10.1016/j.cor.2008.09.011
Cortés-Murcia, D. L., Prodhon, C., & Murat Afsar, H. (2019). The electric vehicle routing problem with time windows, partial recharges and satellite customers. Transportation Research Part E: Logistics and Transportation Review, 130, 184–206. https://doi.org/10.1016/j.tre.2019.08.015
Erdoğan, S., & Miller-Hooks, E. (2012). A Green Vehicle Routing Problem. Transportation Research Part E: Logistics and Transportation Review, 48(1), 100–114. https://doi.org/10.1016/j.tre.2011.08.001
Hiermann, G., Hartl, R. F., Puchinger, J., & Vidal, T. (2019). Routing a mix of conventional, plug-in hybrid, and electric vehicles. European Journal of Operational Research, 272(1), 235–248. https://doi.org/10.1016/j.ejor.2018.06.025
Hiermann, G., Puchinger, J., Ropke, S., & Hartl, R. F. (2016). The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations. European Journal of Operational Research, 252(3), 995–1018. https://doi.org/10.1016/j.ejor.2016.01.038
Holland, J. H. (1975). Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence by Holland, John H - AbeBooks (M1 ed.,). University of Michigan Press, Ann Arbor. https://www.abebooks.com/book-search/isbn/9780472084609/
Keskin, M., & Çatay, B. (2016). Partial recharge strategies for the electric vehicle routing problem with time windows. Transportation Research Part C: Emerging Technologies, 65, 111–127. https://doi.org/10.1016/j.trc.2016.01.013
Koç, Ç., Jabali, O., Mendoza, J. E., & Laporte, G. (2019). The electric vehicle routing problem with shared charging stations. International Transactions in Operational Research, 26(4), 1211–1243. https://doi.org/10.1111/itor.12620
López-Ibáñez, M., Dubois-Lacoste, J., Pérez Cáceres, L., Birattari, M., & Stützle, T. (2016). The irace package: Iterated racing for automatic algorithm configuration. Operations Research Perspectives, 3, 43–58. https://doi.org/10.1016/j.orp.2016.09.002
Macrina, G., Di Puglia Pugliese, L., Guerriero, F., & Laporte, G. (2019). The green mixed fleet vehicle routing problem with partial battery recharging and time windows. Computers & Operations Research, 101, 183–199. https://doi.org/10.1016/j.cor.2018.07.012
Mao, H., Shi, J., Zhou, Y., & Zhang, G. (2020). The Electric Vehicle Routing Problem With Time Windows and Multiple Recharging Options. IEEE Access, 8, 114864–114875. https://doi.org/10.1109/ACCESS.2020.3003000
Messaoud, E. (2021). A chance constrained programming model and an improved large neighborhood search algorithm for the electric vehicle routing problem with stochastic travel times. Evolutionary Intelligence. https://doi.org/10.1007/s12065-021-00648-0
Montoya, A., Guéret, C., Mendoza, J. E., & Villegas, J. G. (2017). The electric vehicle routing problem with nonlinear charging function. Transportation Research Part B: Methodological, 103, 87–110. https://doi.org/10.1016/j.trb.2017.02.004
Pan, W., & Liu, S. Q. (2023). Deep reinforcement learning for the dynamic and uncertain vehicle routing problem. Applied Intelligence, 53(1), 405–422. https://doi.org/10.1007/s10489-022-03456-w
Pelletier, S., Jabali, O., & Laporte, G. (2019). The electric vehicle routing problem with energy consumption uncertainty. Transportation Research Part B: Methodological, 126, 225–255. https://doi.org/10.1016/j.trb.2019.06.006
Qin, H., Su, X., Ren, T., & Luo, Z. (2021). A review on the electric vehicle routing problems: Variants and algorithms. Frontiers of Engineering Management, 8(3), 370–389. https://doi.org/10.1007/s42524-021-0157-1
Schneider, M., Stenger, A., & Goeke, D. (2014). The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations. Transportation Science, 48(4), 500–520. https://doi.org/10.1287/trsc.2013.0490
Poalo Toth et Daniele Vigo(2014).Vehicle routing problems, methods, and application Philadelphia: Mathematical Optimization Society
Verma, A. (2018). Electric vehicle routing problem with time windows, recharging stations and battery swapping stations. EURO Journal on Transportation and Logistics, 7(4), 415–451. https://doi.org/10.1007/s13676-018-0136-9
Wang, Y., Assogba, K., Fan, J., Xu, M., Liu, Y., & Wang, H. (2019). Multi-depot green vehicle routing problem with shared transportation resource: Integration of time-dependent speed and piecewise penalty cost. Journal of Cleaner Production, 232, 12–29. https://doi.org/10.1016/j.jclepro.2019.05.344
Zhang, X., & Tang, L. (2009). A new hybrid ant colony optimization algorithm for the vehicle routing problem. Pattern Recognition Letters, 30(9), 848–855. https://doi.org/10.1016/j.patrec.2008.06.001
Zhao, M., & Lu, Y. (2019). A Heuristic Approach for a Real-World Electric Vehicle Routing Problem. Algorithms, 12(2), Article 2. https://doi.org/10.3390/a12020045
Allahviranloo, M., Chow, J. Y. J., & Recker, W. W. (2014). Selective vehicle routing problems under uncertainty without recourse. Transportation Research Part E: Logistics and Transportation Review, 62, 68–88. https://doi.org/10.1016/j.tre.2013.12.004
Cao, E., Gao, R., & Lai, M. (2018). Research on the vehicle routing problem with interval demands. Applied Mathematical Modelling, 54, 332–346. https://doi.org/10.1016/j.apm.2017.09.050
Chaves, A. A., & Lorena, L. A. N. (2010). Clustering search algorithm for the capacitated centered clustering problem. Computers & Operations Research, 37(3), Article 3. https://doi.org/10.1016/j.cor.2008.09.011
Cortés-Murcia, D. L., Prodhon, C., & Murat Afsar, H. (2019). The electric vehicle routing problem with time windows, partial recharges and satellite customers. Transportation Research Part E: Logistics and Transportation Review, 130, 184–206. https://doi.org/10.1016/j.tre.2019.08.015
Erdoğan, S., & Miller-Hooks, E. (2012). A Green Vehicle Routing Problem. Transportation Research Part E: Logistics and Transportation Review, 48(1), 100–114. https://doi.org/10.1016/j.tre.2011.08.001
Hiermann, G., Hartl, R. F., Puchinger, J., & Vidal, T. (2019). Routing a mix of conventional, plug-in hybrid, and electric vehicles. European Journal of Operational Research, 272(1), 235–248. https://doi.org/10.1016/j.ejor.2018.06.025
Hiermann, G., Puchinger, J., Ropke, S., & Hartl, R. F. (2016). The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations. European Journal of Operational Research, 252(3), 995–1018. https://doi.org/10.1016/j.ejor.2016.01.038
Holland, J. H. (1975). Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence by Holland, John H - AbeBooks (M1 ed.,). University of Michigan Press, Ann Arbor. https://www.abebooks.com/book-search/isbn/9780472084609/
Keskin, M., & Çatay, B. (2016). Partial recharge strategies for the electric vehicle routing problem with time windows. Transportation Research Part C: Emerging Technologies, 65, 111–127. https://doi.org/10.1016/j.trc.2016.01.013
Koç, Ç., Jabali, O., Mendoza, J. E., & Laporte, G. (2019). The electric vehicle routing problem with shared charging stations. International Transactions in Operational Research, 26(4), 1211–1243. https://doi.org/10.1111/itor.12620
López-Ibáñez, M., Dubois-Lacoste, J., Pérez Cáceres, L., Birattari, M., & Stützle, T. (2016). The irace package: Iterated racing for automatic algorithm configuration. Operations Research Perspectives, 3, 43–58. https://doi.org/10.1016/j.orp.2016.09.002
Macrina, G., Di Puglia Pugliese, L., Guerriero, F., & Laporte, G. (2019). The green mixed fleet vehicle routing problem with partial battery recharging and time windows. Computers & Operations Research, 101, 183–199. https://doi.org/10.1016/j.cor.2018.07.012
Mao, H., Shi, J., Zhou, Y., & Zhang, G. (2020). The Electric Vehicle Routing Problem With Time Windows and Multiple Recharging Options. IEEE Access, 8, 114864–114875. https://doi.org/10.1109/ACCESS.2020.3003000
Messaoud, E. (2021). A chance constrained programming model and an improved large neighborhood search algorithm for the electric vehicle routing problem with stochastic travel times. Evolutionary Intelligence. https://doi.org/10.1007/s12065-021-00648-0
Montoya, A., Guéret, C., Mendoza, J. E., & Villegas, J. G. (2017). The electric vehicle routing problem with nonlinear charging function. Transportation Research Part B: Methodological, 103, 87–110. https://doi.org/10.1016/j.trb.2017.02.004
Pan, W., & Liu, S. Q. (2023). Deep reinforcement learning for the dynamic and uncertain vehicle routing problem. Applied Intelligence, 53(1), 405–422. https://doi.org/10.1007/s10489-022-03456-w
Pelletier, S., Jabali, O., & Laporte, G. (2019). The electric vehicle routing problem with energy consumption uncertainty. Transportation Research Part B: Methodological, 126, 225–255. https://doi.org/10.1016/j.trb.2019.06.006
Qin, H., Su, X., Ren, T., & Luo, Z. (2021). A review on the electric vehicle routing problems: Variants and algorithms. Frontiers of Engineering Management, 8(3), 370–389. https://doi.org/10.1007/s42524-021-0157-1
Schneider, M., Stenger, A., & Goeke, D. (2014). The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations. Transportation Science, 48(4), 500–520. https://doi.org/10.1287/trsc.2013.0490
Poalo Toth et Daniele Vigo(2014).Vehicle routing problems, methods, and application Philadelphia: Mathematical Optimization Society
Verma, A. (2018). Electric vehicle routing problem with time windows, recharging stations and battery swapping stations. EURO Journal on Transportation and Logistics, 7(4), 415–451. https://doi.org/10.1007/s13676-018-0136-9
Wang, Y., Assogba, K., Fan, J., Xu, M., Liu, Y., & Wang, H. (2019). Multi-depot green vehicle routing problem with shared transportation resource: Integration of time-dependent speed and piecewise penalty cost. Journal of Cleaner Production, 232, 12–29. https://doi.org/10.1016/j.jclepro.2019.05.344
Zhang, X., & Tang, L. (2009). A new hybrid ant colony optimization algorithm for the vehicle routing problem. Pattern Recognition Letters, 30(9), 848–855. https://doi.org/10.1016/j.patrec.2008.06.001
Zhao, M., & Lu, Y. (2019). A Heuristic Approach for a Real-World Electric Vehicle Routing Problem. Algorithms, 12(2), Article 2. https://doi.org/10.3390/a12020045