Random Savings Algorithm for Solving Russian TSP Instances
DOI:
https://doi.org/10.37577/sainteks.v6i1.654Abstract
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References
Elshaer, R., & Awad, H. (2020). A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants. Computers & Industrial Engineering, 140, 106242.
GeoNames. (n.d.). https://download.geonames.org/export/
Idrizi, B. (2020). Necessity for geometric corrections of distances in web and mobile maps. International Conference on Cartography and GIS, Bulgaria.
Jiménez Aguirre, M. F. (2022). Algoritmo de Clarke and Wright para mejorar la gestión de ruta del transporte de acopio de leche en Cañete, 2020.
Kunnapapdeelert, S., & Thawnern, C. (2021). Capacitated vehicle routing problem for Thailand’s steel industry via saving algorithms. Journal of System and Management Sciences, 11(2), 171–181.
Lysgaard, J. (1997). Clarke & Wright’s savings algorithm. Department of Management Science and Logistics, The Aarhus School of Business, 44, 1–7.
Nagar, S., & Nagar, S. (2018). Introduction to Octave. Springer.
Ramos, V. S. (2020). SIHR: a MATLAB/GNU Octave toolbox for single image highlight removal. Journal of Open Source Software, 5(45), 1822.
Sanggala, E., & Bisma, M. A. (2023). Random Nearest Neighbour Untuk Menyelesaikan Russian TSP Instances. 15(1), 63–69.
Wu, Z. (2020). A comparative study of solving traveling salesman problem with genetic algorithm, ant colony algorithm, and particle swarm optimization. Proceedings of the 2020 2nd International Conference on Robotics Systems and Vehicle Technology, 95–99.
Zhang, J. (2021). Comparison of various algorithms based on TSP solving. Journal of Physics: Conference Series, 2083(3), 32007.
GeoNames. (n.d.). https://download.geonames.org/export/
Idrizi, B. (2020). Necessity for geometric corrections of distances in web and mobile maps. International Conference on Cartography and GIS, Bulgaria.
Jiménez Aguirre, M. F. (2022). Algoritmo de Clarke and Wright para mejorar la gestión de ruta del transporte de acopio de leche en Cañete, 2020.
Kunnapapdeelert, S., & Thawnern, C. (2021). Capacitated vehicle routing problem for Thailand’s steel industry via saving algorithms. Journal of System and Management Sciences, 11(2), 171–181.
Lysgaard, J. (1997). Clarke & Wright’s savings algorithm. Department of Management Science and Logistics, The Aarhus School of Business, 44, 1–7.
Nagar, S., & Nagar, S. (2018). Introduction to Octave. Springer.
Ramos, V. S. (2020). SIHR: a MATLAB/GNU Octave toolbox for single image highlight removal. Journal of Open Source Software, 5(45), 1822.
Sanggala, E., & Bisma, M. A. (2023). Random Nearest Neighbour Untuk Menyelesaikan Russian TSP Instances. 15(1), 63–69.
Wu, Z. (2020). A comparative study of solving traveling salesman problem with genetic algorithm, ant colony algorithm, and particle swarm optimization. Proceedings of the 2020 2nd International Conference on Robotics Systems and Vehicle Technology, 95–99.
Zhang, J. (2021). Comparison of various algorithms based on TSP solving. Journal of Physics: Conference Series, 2083(3), 32007.
