How to cite this paper
Xu, S., Zong, J., Liu, L., Yang, W & Xu, L. (2024). An extended PSO algorithm for cold-chain vehicle routing problem with independent loading and minimum fuel volume.International Journal of Industrial Engineering Computations , 15(2), 415-426.
Refrences
Ahmadi-Javid, A., Mansourfar, M., Lee, C. G., Liu, L. Optimal distribution of perishable foods with storage temperature control and quality requirements: an integrated vehicle routing problem. Computers & Industrial Engineering, 2023, 182, 109215.
Ahn, N., & Kim, S. (2022). Optimal and heuristic algorithms for the multi-objective vehicle routing problem with drones for military surveillance operations. Journal of Industrial and Management Optimization, 18(3), 1651-1663.
Baldacci, R., Christofides, N., & Mingozzi, A. (2008). An exact algorithm for the vehicle routing problem based on the set partitioning formulation with additional cuts. Mathematical Programming, 115, 351-385.
Bektaş, T., & Laporte, G. (2011). The pollution-routing problem. Transportation Research Part B: Methodological, 45(8), 1232-1250.
Chiang, C. W., Lee, W. P., & Heh, J. S. (2010). A 2-Opt based differential evolution for global optimization. Applied Soft Computing, 10(4), 1200-1207.
Croes, G. A. (1958). A method for solving traveling-salesman problems. Operations Research, 6(6), 791-812.
Demir, E., Bektaş, T., & Laporte, G. (2011). A comparative analysis of several vehicle emission models for road freight transportation. Transportation Research Part D: Transport and Environment, 16(5), 347-357.
Eberhart, R., & Kennedy, J. (1995, October). A new optimizer using particle swarm theory. In MHS'95. Proceedings of the sixth international symposium on micro machine and human science (pp. 39-43). IEEE.
Elgharably, N., Easa, S., Nassef, A., & El Damatty, A. (2022). Stochastic multi-objective vehicle routing model in green environment with customer satisfaction. IEEE Transactions on Intelligent Transportation Systems, 24(1), 1337-1355.
Gao, Z., Xu, X., Hu, Y., Wang, H., Zhou, C., & Zhang, H. (2023). Based on Improved NSGA-II Algorithm for Solving Time-Dependent Green Vehicle Routing Problem of Urban Waste Removal with the Consideration of Traffic Congestion: A Case Study in China. Systems, 11(4), 173.
Huang, S. H., Huang, Y. H., Blazquez, C. A., & Chen, C. Y. (2022). Solving the vehicle routing problem with drone for delivery services using an ant colony optimization algorithm. Advanced Engineering Informatics, 51, 101536.
Li, M., Shi, Y., & Li, M. (2023). Solving the Vehicle Routing Problem for a Reverse Logistics Hybrid Fleet Considering Real-Time Road Conditions. Mathematics, 11(7), 1659.
Li, N., & Li, G. (2022). Hybrid partheno-genetic algorithm for multi-depot perishable food delivery problem with mixed time windows. Annals of Operations Research, 1-32. DOI: 10.1007/s10479-022-04747-8.
Liang, X., Wang, N., Zhang, M., & Jiang, B. (2023). Bi-objective multi-period vehicle routing for perishable goods delivery considering customer satisfaction. Expert Systems with Applications, 220, 119712.
Pasha, J., Nwodu, A. L., Fathollahi-Fard, A. M., Tian, G., Li, Z., Wang, H., & Dulebenets, M. A. (2022). Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings. Advanced Engineering Informatics, 52, 101623.
Rajaei, M., Moslehi, G., & Reisi-Nafchi, M. (2022). The split heterogeneous vehicle routing problem with three-dimensional loading constraints on a large scale. European Journal of Operational Research, 299(2), 706-721.
Sarbijan, M. S., & Behnamian, J. (2022). Real-time collaborative feeder vehicle routing problem with flexible time windows. Swarm and Evolutionary Computation, 75, 101201.
Talouki, R. Z., Javadian, N., & Movahedi, M. M. (2021). Optimization and incorporating of green traffic for dynamic vehicle routing problem with perishable products. Environmental Science and Pollution Research, 28, 36415-36433.
Vincent, F. Y., Jewpanya, P., Redi, A. P., & Tsao, Y. C. (2021). Adaptive neighborhood simulated annealing for the heterogeneous fleet vehicle routing problem with multiple cross-docks. Computers & Operations Research, 129, 105205.
Wang, X., Wang, M., Ruan, J., & Zhan, H. (2016). The multi-objective optimization for perishable food distribution route considering temporal-spatial distance. Procedia Computer Science, 96, 1211-1220.
Wang, Z., & Wen, P. (2020). Optimization of a low-carbon two-echelon heterogeneous-fleet vehicle routing for cold chain logistics under mixed time window. Sustainability, 12(5), 1967.
Xu, R., Li, S., & Wu, J. (2023). Multi-Trip Vehicle Routing Problem with Time Windows and Resource Synchronization on Heterogeneous Facilities. Systems, 11(8), 412.
Yin, N. (2022). Multiobjective optimization for vehicle routing optimization problem in low-carbon intelligent transportation. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2022.3193679.
Zhao, B., Gui, H., Li, H., & Xue, J. (2020). Cold chain logistics path optimization via improved multi-objective ant colony algorithm. IEEE Access, 8, 142977-142995.
Zhou, T., Zhang, S., Zhang, D., Chan, V., Yang, S., & Chen, M. (2023). Customer-oriented multi-objective optimization on a novel collaborative multi-heterogeneous-depot electric vehicle routing problem with mixed time windows. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-19.
Ahn, N., & Kim, S. (2022). Optimal and heuristic algorithms for the multi-objective vehicle routing problem with drones for military surveillance operations. Journal of Industrial and Management Optimization, 18(3), 1651-1663.
Baldacci, R., Christofides, N., & Mingozzi, A. (2008). An exact algorithm for the vehicle routing problem based on the set partitioning formulation with additional cuts. Mathematical Programming, 115, 351-385.
Bektaş, T., & Laporte, G. (2011). The pollution-routing problem. Transportation Research Part B: Methodological, 45(8), 1232-1250.
Chiang, C. W., Lee, W. P., & Heh, J. S. (2010). A 2-Opt based differential evolution for global optimization. Applied Soft Computing, 10(4), 1200-1207.
Croes, G. A. (1958). A method for solving traveling-salesman problems. Operations Research, 6(6), 791-812.
Demir, E., Bektaş, T., & Laporte, G. (2011). A comparative analysis of several vehicle emission models for road freight transportation. Transportation Research Part D: Transport and Environment, 16(5), 347-357.
Eberhart, R., & Kennedy, J. (1995, October). A new optimizer using particle swarm theory. In MHS'95. Proceedings of the sixth international symposium on micro machine and human science (pp. 39-43). IEEE.
Elgharably, N., Easa, S., Nassef, A., & El Damatty, A. (2022). Stochastic multi-objective vehicle routing model in green environment with customer satisfaction. IEEE Transactions on Intelligent Transportation Systems, 24(1), 1337-1355.
Gao, Z., Xu, X., Hu, Y., Wang, H., Zhou, C., & Zhang, H. (2023). Based on Improved NSGA-II Algorithm for Solving Time-Dependent Green Vehicle Routing Problem of Urban Waste Removal with the Consideration of Traffic Congestion: A Case Study in China. Systems, 11(4), 173.
Huang, S. H., Huang, Y. H., Blazquez, C. A., & Chen, C. Y. (2022). Solving the vehicle routing problem with drone for delivery services using an ant colony optimization algorithm. Advanced Engineering Informatics, 51, 101536.
Li, M., Shi, Y., & Li, M. (2023). Solving the Vehicle Routing Problem for a Reverse Logistics Hybrid Fleet Considering Real-Time Road Conditions. Mathematics, 11(7), 1659.
Li, N., & Li, G. (2022). Hybrid partheno-genetic algorithm for multi-depot perishable food delivery problem with mixed time windows. Annals of Operations Research, 1-32. DOI: 10.1007/s10479-022-04747-8.
Liang, X., Wang, N., Zhang, M., & Jiang, B. (2023). Bi-objective multi-period vehicle routing for perishable goods delivery considering customer satisfaction. Expert Systems with Applications, 220, 119712.
Pasha, J., Nwodu, A. L., Fathollahi-Fard, A. M., Tian, G., Li, Z., Wang, H., & Dulebenets, M. A. (2022). Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings. Advanced Engineering Informatics, 52, 101623.
Rajaei, M., Moslehi, G., & Reisi-Nafchi, M. (2022). The split heterogeneous vehicle routing problem with three-dimensional loading constraints on a large scale. European Journal of Operational Research, 299(2), 706-721.
Sarbijan, M. S., & Behnamian, J. (2022). Real-time collaborative feeder vehicle routing problem with flexible time windows. Swarm and Evolutionary Computation, 75, 101201.
Talouki, R. Z., Javadian, N., & Movahedi, M. M. (2021). Optimization and incorporating of green traffic for dynamic vehicle routing problem with perishable products. Environmental Science and Pollution Research, 28, 36415-36433.
Vincent, F. Y., Jewpanya, P., Redi, A. P., & Tsao, Y. C. (2021). Adaptive neighborhood simulated annealing for the heterogeneous fleet vehicle routing problem with multiple cross-docks. Computers & Operations Research, 129, 105205.
Wang, X., Wang, M., Ruan, J., & Zhan, H. (2016). The multi-objective optimization for perishable food distribution route considering temporal-spatial distance. Procedia Computer Science, 96, 1211-1220.
Wang, Z., & Wen, P. (2020). Optimization of a low-carbon two-echelon heterogeneous-fleet vehicle routing for cold chain logistics under mixed time window. Sustainability, 12(5), 1967.
Xu, R., Li, S., & Wu, J. (2023). Multi-Trip Vehicle Routing Problem with Time Windows and Resource Synchronization on Heterogeneous Facilities. Systems, 11(8), 412.
Yin, N. (2022). Multiobjective optimization for vehicle routing optimization problem in low-carbon intelligent transportation. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2022.3193679.
Zhao, B., Gui, H., Li, H., & Xue, J. (2020). Cold chain logistics path optimization via improved multi-objective ant colony algorithm. IEEE Access, 8, 142977-142995.
Zhou, T., Zhang, S., Zhang, D., Chan, V., Yang, S., & Chen, M. (2023). Customer-oriented multi-objective optimization on a novel collaborative multi-heterogeneous-depot electric vehicle routing problem with mixed time windows. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-19.