How to cite this paper
Galindres-Guancha, L., Toro-Ocampo, E & Rendón, R. (2018). Multi-objective MDVRP solution considering route balance and cost using the ILS metaheuristic.International Journal of Industrial Engineering Computations , 9(1), 33-46.
Refrences
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Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T. (2000, September). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In International Conference on Parallel Problem Solving From Nature (pp. 849-858). Springer Berlin Heidelberg.
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. A. M. T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182-197.
Duarte, A., Pantrigo, J. J., Pardo, E. G., & Mladenovic, N. (2015). Multi-objective variable neighborhood search: an application to combinatorial optimization problems. Journal of Global Optimization, 63(3), 515-536.
Geiger, M. J. (2008). Foundations of the Pareto iterated local search metaheuristic. arXiv preprint arXiv:0809.0406.
Halvorsen-Weare, E. E., & Savelsbergh, M. W. (2016). The bi-objective mixed capacitated general routing problem with different route balance criteria. European Journal of Operational Research, 251(2), 451-465.
Ho, W., Ho, G. T., Ji, P., & Lau, H. C. (2008). A hybrid genetic algorithm for the multi-depot vehicle routing problem. Engineering Applications of Artificial Intelligence, 21(4), 548-557.
Keskinturk, T., & Yildirim, M. B. (2011, June). A genetic algorithm metaheuristic for bakery distribution vehicle routing problem with load balancing. In Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on (pp. 287-291). IEEE.
Kulkarni, R. V., & Bhave, P. R. (1985). Integer programming formulations of vehicle routing problems. European Journal of Operational Research, 20(1), 58-67.
Liefooghe, A., Humeau, J., Mesmoudi, S., Jourdan, L., & Talbi, E. G. (2012). On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems. Journal of Heuristics, 18(2), 317-352.
López, L., Hincapié, R. A., & Gallego, R. A. (2013). Planeamiento multiobjetivo de sistemas de distribución usando un algoritmo evolutivo nsga-ii (multiobjective distribution system planning using an nsga-ii evolutionary algorithm). Revista EIA, 8(15), 141-151.
Mladenovic, N., y Hansen, P. (1997). Variable neighborhood search. Computers & Operations Research, 24(11), 1097–1100.
Montoya-Torres, J. R., Franco, J. L., Isaza, S. N., Jiménez, H. F., & Herazo-Padilla, N. (2015). A literature review on the vehicle routing problem with multiple depots. Computers & Industrial Engineering, 79, 115-129.
Paessens, H. (1988). The savings algorithm for the vehicle routing problem. European Journal of Operational Research, 34(3), 336-344.
Ribeiro, R., & Ramalhinho Dias Lourenço, H. (2001). A multi-objective model for a multi-period distribution management problem.
Toth, P., & Vigo, D. (Eds.). (2014). Vehicle routing: problems, methods, and applications. Society for Industrial and Applied Mathematics.
Schwarze, S., & Voß, S. (2013). Improved load balancing and resource utilization for the skill vehicle routing problem. Optimization Letters, 7(8), 1805-1823.
Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T. (2000, September). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In International Conference on Parallel Problem Solving From Nature (pp. 849-858). Springer Berlin Heidelberg.
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. A. M. T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182-197.
Duarte, A., Pantrigo, J. J., Pardo, E. G., & Mladenovic, N. (2015). Multi-objective variable neighborhood search: an application to combinatorial optimization problems. Journal of Global Optimization, 63(3), 515-536.
Geiger, M. J. (2008). Foundations of the Pareto iterated local search metaheuristic. arXiv preprint arXiv:0809.0406.
Halvorsen-Weare, E. E., & Savelsbergh, M. W. (2016). The bi-objective mixed capacitated general routing problem with different route balance criteria. European Journal of Operational Research, 251(2), 451-465.
Ho, W., Ho, G. T., Ji, P., & Lau, H. C. (2008). A hybrid genetic algorithm for the multi-depot vehicle routing problem. Engineering Applications of Artificial Intelligence, 21(4), 548-557.
Keskinturk, T., & Yildirim, M. B. (2011, June). A genetic algorithm metaheuristic for bakery distribution vehicle routing problem with load balancing. In Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on (pp. 287-291). IEEE.
Kulkarni, R. V., & Bhave, P. R. (1985). Integer programming formulations of vehicle routing problems. European Journal of Operational Research, 20(1), 58-67.
Liefooghe, A., Humeau, J., Mesmoudi, S., Jourdan, L., & Talbi, E. G. (2012). On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems. Journal of Heuristics, 18(2), 317-352.
López, L., Hincapié, R. A., & Gallego, R. A. (2013). Planeamiento multiobjetivo de sistemas de distribución usando un algoritmo evolutivo nsga-ii (multiobjective distribution system planning using an nsga-ii evolutionary algorithm). Revista EIA, 8(15), 141-151.
Mladenovic, N., y Hansen, P. (1997). Variable neighborhood search. Computers & Operations Research, 24(11), 1097–1100.
Montoya-Torres, J. R., Franco, J. L., Isaza, S. N., Jiménez, H. F., & Herazo-Padilla, N. (2015). A literature review on the vehicle routing problem with multiple depots. Computers & Industrial Engineering, 79, 115-129.
Paessens, H. (1988). The savings algorithm for the vehicle routing problem. European Journal of Operational Research, 34(3), 336-344.
Ribeiro, R., & Ramalhinho Dias Lourenço, H. (2001). A multi-objective model for a multi-period distribution management problem.
Toth, P., & Vigo, D. (Eds.). (2014). Vehicle routing: problems, methods, and applications. Society for Industrial and Applied Mathematics.
Schwarze, S., & Voß, S. (2013). Improved load balancing and resource utilization for the skill vehicle routing problem. Optimization Letters, 7(8), 1805-1823.