How to cite this paper
Zhang, H & Shi, F. (2024). A multi-objective site selection of electric vehicle charging station based on NSGA-II.International Journal of Industrial Engineering Computations , 15(1), 293-306.
Refrences
Ademulegun, O. O., MacArtain, P., Oni, B., & Hewitt, N. J. (2022). Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions. Energies, 15(24), Article 9396. https://doi.org/10.3390/en15249396
Bai, X., Chin, K.-S., & Zhou, Z. (2019). A bi-objective model for location planning of electric vehicle charging stations with GPS trajectory data. Computers & Industrial Engineering, 128, 591-604. https://doi.org/10.1016/j.cie.2019.01.008
Cao, W. T., Wan, Y. H., Wang, L., & Wu, Y. (2021). Location and capacity determination of charging station based on electric vehicle charging behavior analysis. Ieej Transactions on Electrical and Electronic Engineering, 16(6), 827-834. https://doi.org/10.1002/tee.23378
Cheng, T. X., Tai, M. M., & Ma, Z. (2012, Apr 12-13). The Model of Parking Demand Forecast for the Urban CCD.Energy Procedia [2012 international conference on future energy, environment, and materials, pt b]. International Conference on Future Energy, Environment, and Materials (FEEM), Hong Kong, PEOPLES R CHINA.
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. Ieee Transactions on Evolutionary Computation, 6(2), 182-197, Article Pii s 1089-778x(02)04101-2. https://doi.org/10.1109/4235.996017
He, S. Y., Kuo, Y. H., & Wu, D. (2016). Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China. Transportation Research Part C-Emerging Technologies, 67, 131-148. https://doi.org/10.1016/j.trc.2016.02.003
Hodgson, M. J. (1990). A flow‐capturing location‐allocation model. Geographical Analysis, 22(3), 270-279.
Huang, X. Q., Chen, J., Yang, H., Cao, Y. J., Guan, W. D., & Huang, B. C. (2018). Economic planning approach for electric vehicle charging stations integrating traffic and power grid constraints. Iet Generation Transmission & Distribution, 12(17), 3925-3934. https://doi.org/10.1049/iet-gtd.2018.5456
Huang, Y. X., Li, S. Y., & Qian, Z. S. (2015). Optimal Deployment of Alternative Fueling Stations on Transportation Networks Considering Deviation Paths. Networks & Spatial Economics, 15(1), 183-204. https://doi.org/10.1007/s11067-014-9275-1
Janjic, A., Velimirovic, L., Velimirovic, J., & Vranic, P. (2021). Estimating the optimal number and locations of electric vehicle charging stations: the application of multi-criteria p-median methodology. Transportation Planning and Technology, 44(8), 827-842. https://doi.org/10.1080/03081060.2021.1992177
Kadri, A. A., Perrouault, R., Boujelben, M. K., & Gicquel, C. (2020). A multi-stage stochastic integer programming approach for locating electric vehicle charging stations. Computers & Operations Research, 117, Article 104888. https://doi.org/10.1016/j.cor.2020.104888
Kchaou-Boujelben, M. (2021). Charging station location problem: A comprehensive review on models and solution approaches. Transportation Research Part C-Emerging Technologies, 132. https://doi.org/10.1016/j.trc.2021.103376
Ko, J., Gim, T. H. T., & Guensler, R. (2017). Locating refuelling stations for alternative fuel vehicles: a review on models and applications. Transport Reviews, 37(5), 551-570. https://doi.org/10.1080/01441647.2016.1273274
Krol, A., & Sierpinski, G. (2022). Application of a Genetic Algorithm With a Fuzzy Objective Function for Optimized Siting of Electric Vehicle Charging Devices in Urban Road Networks. Ieee Transactions on Intelligent Transportation Systems, 23(7), 8680-8691. https://doi.org/10.1109/tits.2021.3085103
Kuby, M., & Lim, S. (2005). The flow-refueling location problem for alternative-fuel vehicles. Socio-Economic Planning Sciences, 39(2), 125-145.
Li, Y. J., Pei, W. H., & Zhang, Q. (2022). Improved Whale Optimization Algorithm Based on Hybrid Strategy and Its Application in Location Selection for Electric Vehicle Charging Stations. Energies, 15(19), Article 7035. https://doi.org/10.3390/en15197035
Luo, Q. Y., Tian, W. L., & Jia, H. F. (2020). Location and Capacity Model of Charging Station for Electric Vehicles Based on Commuting Demand. Ieej Transactions on Electrical and Electronic Engineering, 15(7), 1089-1099. https://doi.org/10.1002/tee.23154
Meng, X. Y., Zhang, W. G., Bao, Y., Yan, Y., Yuan, R. M., Chen, Z., & Li, J. X. (2020). Sequential construction planning of electric taxi charging stations considering the development of charging demand. Journal of Cleaner Production, 259, Article 120794. https://doi.org/10.1016/j.jclepro.2020.120794
Pan, L., Yao, E. J., Yang, Y., & Zhang, R. (2020). A location model for electric vehicle (EV) public charging stations based on drivers? existing activities. Sustainable Cities and Society, 59, Article 102192. https://doi.org/10.1016/j.scs.2020.102192
ReVelle, C. S., & Eiselt, H. A. (2005). Location analysis: A synthesis and survey - Invited review. European Journal of Operational Research, 165(1), 1-19. https://doi.org/10.1016/j.ejor.2003.11.032
Wang, J. M., Liu, Y., Yang, Y. F., Cai, W., Wang, D. X., & Jia, Z. W. (2019). The Location of Electric Vehicle Charging Stations based on FRLM with Robust Optimization. International Journal of Pattern Recognition and Artificial Intelligence, 33(8), Article 1959027. https://doi.org/10.1142/s0218001419590274
Wang, X., Shahidehpour, M., Jiang, C., & Li, Z. (2018). Coordinated planning strategy for electric vehicle charging stations and coupled traffic-electric networks. IEEE Transactions on Power Systems, 34(1), 268-279.
Wu, X. M., Feng, Q. J., Bai, C. C., Lai, C. S., Jia, Y. W., & Lai, L. L. (2021). A novel fast-charging stations locational planning model for electric bus transit system. Energy, 224, Article 120106. https://doi.org/10.1016/j.energy.2021.120106
Wu, Y. N., Xie, C., Xu, C. B., & Li, F. (2017). A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing. Energies, 10(9), Article 1270. https://doi.org/10.3390/en10091270
Xie, F., Liu, C. Z., Li, S. Y., Lin, Z. H., & Huang, Y. X. (2018). Long-term strategic planning of inter-city fast charging infrastructure for battery electric vehicles. Transportation Research Part E-Logistics and Transportation Review, 109, 261-276. https://doi.org/10.1016/j.tre.2017.11.014
Xu, D., Pei, W. H., & Zhang, Q. (2022). Optimal Planning of Electric Vehicle Charging Stations Considering User Satisfaction and Charging Convenience. Energies, 15(14), Article 5027. https://doi.org/10.3390/en15145027
Yi, Z., Liu, X. C., & Wei, R. (2022). Electric vehicle demand estimation and charging station allocation using urban informatics [Article]. Transportation Research Part D-Transport and Environment, 106, Article 103264. https://doi.org/10.1016/j.trd.2022.103264
Zhang, X., Rey, D., & Waller, S. T. (2018). Multitype recharge facility location for electric vehicles. Computer‐Aided Civil and Infrastructure Engineering, 33(11), 943-965.
Bai, X., Chin, K.-S., & Zhou, Z. (2019). A bi-objective model for location planning of electric vehicle charging stations with GPS trajectory data. Computers & Industrial Engineering, 128, 591-604. https://doi.org/10.1016/j.cie.2019.01.008
Cao, W. T., Wan, Y. H., Wang, L., & Wu, Y. (2021). Location and capacity determination of charging station based on electric vehicle charging behavior analysis. Ieej Transactions on Electrical and Electronic Engineering, 16(6), 827-834. https://doi.org/10.1002/tee.23378
Cheng, T. X., Tai, M. M., & Ma, Z. (2012, Apr 12-13). The Model of Parking Demand Forecast for the Urban CCD.Energy Procedia [2012 international conference on future energy, environment, and materials, pt b]. International Conference on Future Energy, Environment, and Materials (FEEM), Hong Kong, PEOPLES R CHINA.
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. Ieee Transactions on Evolutionary Computation, 6(2), 182-197, Article Pii s 1089-778x(02)04101-2. https://doi.org/10.1109/4235.996017
He, S. Y., Kuo, Y. H., & Wu, D. (2016). Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China. Transportation Research Part C-Emerging Technologies, 67, 131-148. https://doi.org/10.1016/j.trc.2016.02.003
Hodgson, M. J. (1990). A flow‐capturing location‐allocation model. Geographical Analysis, 22(3), 270-279.
Huang, X. Q., Chen, J., Yang, H., Cao, Y. J., Guan, W. D., & Huang, B. C. (2018). Economic planning approach for electric vehicle charging stations integrating traffic and power grid constraints. Iet Generation Transmission & Distribution, 12(17), 3925-3934. https://doi.org/10.1049/iet-gtd.2018.5456
Huang, Y. X., Li, S. Y., & Qian, Z. S. (2015). Optimal Deployment of Alternative Fueling Stations on Transportation Networks Considering Deviation Paths. Networks & Spatial Economics, 15(1), 183-204. https://doi.org/10.1007/s11067-014-9275-1
Janjic, A., Velimirovic, L., Velimirovic, J., & Vranic, P. (2021). Estimating the optimal number and locations of electric vehicle charging stations: the application of multi-criteria p-median methodology. Transportation Planning and Technology, 44(8), 827-842. https://doi.org/10.1080/03081060.2021.1992177
Kadri, A. A., Perrouault, R., Boujelben, M. K., & Gicquel, C. (2020). A multi-stage stochastic integer programming approach for locating electric vehicle charging stations. Computers & Operations Research, 117, Article 104888. https://doi.org/10.1016/j.cor.2020.104888
Kchaou-Boujelben, M. (2021). Charging station location problem: A comprehensive review on models and solution approaches. Transportation Research Part C-Emerging Technologies, 132. https://doi.org/10.1016/j.trc.2021.103376
Ko, J., Gim, T. H. T., & Guensler, R. (2017). Locating refuelling stations for alternative fuel vehicles: a review on models and applications. Transport Reviews, 37(5), 551-570. https://doi.org/10.1080/01441647.2016.1273274
Krol, A., & Sierpinski, G. (2022). Application of a Genetic Algorithm With a Fuzzy Objective Function for Optimized Siting of Electric Vehicle Charging Devices in Urban Road Networks. Ieee Transactions on Intelligent Transportation Systems, 23(7), 8680-8691. https://doi.org/10.1109/tits.2021.3085103
Kuby, M., & Lim, S. (2005). The flow-refueling location problem for alternative-fuel vehicles. Socio-Economic Planning Sciences, 39(2), 125-145.
Li, Y. J., Pei, W. H., & Zhang, Q. (2022). Improved Whale Optimization Algorithm Based on Hybrid Strategy and Its Application in Location Selection for Electric Vehicle Charging Stations. Energies, 15(19), Article 7035. https://doi.org/10.3390/en15197035
Luo, Q. Y., Tian, W. L., & Jia, H. F. (2020). Location and Capacity Model of Charging Station for Electric Vehicles Based on Commuting Demand. Ieej Transactions on Electrical and Electronic Engineering, 15(7), 1089-1099. https://doi.org/10.1002/tee.23154
Meng, X. Y., Zhang, W. G., Bao, Y., Yan, Y., Yuan, R. M., Chen, Z., & Li, J. X. (2020). Sequential construction planning of electric taxi charging stations considering the development of charging demand. Journal of Cleaner Production, 259, Article 120794. https://doi.org/10.1016/j.jclepro.2020.120794
Pan, L., Yao, E. J., Yang, Y., & Zhang, R. (2020). A location model for electric vehicle (EV) public charging stations based on drivers? existing activities. Sustainable Cities and Society, 59, Article 102192. https://doi.org/10.1016/j.scs.2020.102192
ReVelle, C. S., & Eiselt, H. A. (2005). Location analysis: A synthesis and survey - Invited review. European Journal of Operational Research, 165(1), 1-19. https://doi.org/10.1016/j.ejor.2003.11.032
Wang, J. M., Liu, Y., Yang, Y. F., Cai, W., Wang, D. X., & Jia, Z. W. (2019). The Location of Electric Vehicle Charging Stations based on FRLM with Robust Optimization. International Journal of Pattern Recognition and Artificial Intelligence, 33(8), Article 1959027. https://doi.org/10.1142/s0218001419590274
Wang, X., Shahidehpour, M., Jiang, C., & Li, Z. (2018). Coordinated planning strategy for electric vehicle charging stations and coupled traffic-electric networks. IEEE Transactions on Power Systems, 34(1), 268-279.
Wu, X. M., Feng, Q. J., Bai, C. C., Lai, C. S., Jia, Y. W., & Lai, L. L. (2021). A novel fast-charging stations locational planning model for electric bus transit system. Energy, 224, Article 120106. https://doi.org/10.1016/j.energy.2021.120106
Wu, Y. N., Xie, C., Xu, C. B., & Li, F. (2017). A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing. Energies, 10(9), Article 1270. https://doi.org/10.3390/en10091270
Xie, F., Liu, C. Z., Li, S. Y., Lin, Z. H., & Huang, Y. X. (2018). Long-term strategic planning of inter-city fast charging infrastructure for battery electric vehicles. Transportation Research Part E-Logistics and Transportation Review, 109, 261-276. https://doi.org/10.1016/j.tre.2017.11.014
Xu, D., Pei, W. H., & Zhang, Q. (2022). Optimal Planning of Electric Vehicle Charging Stations Considering User Satisfaction and Charging Convenience. Energies, 15(14), Article 5027. https://doi.org/10.3390/en15145027
Yi, Z., Liu, X. C., & Wei, R. (2022). Electric vehicle demand estimation and charging station allocation using urban informatics [Article]. Transportation Research Part D-Transport and Environment, 106, Article 103264. https://doi.org/10.1016/j.trd.2022.103264
Zhang, X., Rey, D., & Waller, S. T. (2018). Multitype recharge facility location for electric vehicles. Computer‐Aided Civil and Infrastructure Engineering, 33(11), 943-965.