Search for optimal routes on roads applying metaheuristic algorithms
The design of efficient routes for vehicles visiting a significant number of destinations is a critical factor for the competitiveness of many companies. The design of such routes is known as the vehicle routing problem. Indeed, efficient vehicle routing is one of the most studied problems in the ar...
- Autores:
-
amelec, viloria
Lizardo Zelaya, Nelson Alberto
Varela, Noel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7658
- Acceso en línea:
- https://hdl.handle.net/11323/7658
https://doi.org/10.1016/j.procs.2020.07.063
https://repositorio.cuc.edu.co/
- Palabra clave:
- The problem of routing vehicles
Limited capacity
Memetic algorithm
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
Search for optimal routes on roads applying metaheuristic algorithms |
| title |
Search for optimal routes on roads applying metaheuristic algorithms |
| spellingShingle |
Search for optimal routes on roads applying metaheuristic algorithms The problem of routing vehicles Limited capacity Memetic algorithm |
| title_short |
Search for optimal routes on roads applying metaheuristic algorithms |
| title_full |
Search for optimal routes on roads applying metaheuristic algorithms |
| title_fullStr |
Search for optimal routes on roads applying metaheuristic algorithms |
| title_full_unstemmed |
Search for optimal routes on roads applying metaheuristic algorithms |
| title_sort |
Search for optimal routes on roads applying metaheuristic algorithms |
| dc.creator.fl_str_mv |
amelec, viloria Lizardo Zelaya, Nelson Alberto Varela, Noel |
| dc.contributor.author.spa.fl_str_mv |
amelec, viloria Lizardo Zelaya, Nelson Alberto Varela, Noel |
| dc.subject.spa.fl_str_mv |
The problem of routing vehicles Limited capacity Memetic algorithm |
| topic |
The problem of routing vehicles Limited capacity Memetic algorithm |
| description |
The design of efficient routes for vehicles visiting a significant number of destinations is a critical factor for the competitiveness of many companies. The design of such routes is known as the vehicle routing problem. Indeed, efficient vehicle routing is one of the most studied problems in the areas of logistics and combinatorial optimization. The present study presents a memetic algorithm that evolves using a mechanism inspired by virus mutations. Additionally, the algorithm uses Taboo Search as an intensification mechanism. |
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2020 |
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2020 |
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2021-01-05T14:33:11Z |
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2021-01-05T14:33:11Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_6501 |
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Text |
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info:eu-repo/semantics/article |
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https://hdl.handle.net/11323/7658 |
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https://doi.org/10.1016/j.procs.2020.07.063 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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1646-9895 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/7658 https://doi.org/10.1016/j.procs.2020.07.063 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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[1] Peng, B., Zhang, Y., Lü, Z., Cheng, T. C. E., & Glover, F. (2020). A learning-based memetic algorithm for the multiple vehicle pickup and delivery problem with LIFO loading. Computers & Industrial Engineering, 142, 106241. [2] Yağmur, E., & Kesen, S. E. (2020). A memetic algorithm for joint production and distribution scheduling with due dates. Computers & Industrial Engineering, 142, 106342. [3] Li, X., Shi, X., Zhao, Y., Liang, H., & Dong, Y. (2020). SVND Enhanced Metaheuristic for Plug-In Hybrid Electric Vehicle Routing Problem. Applied Sciences, 10(2), 441. [4] Wan, J., Chen, X., & Li, R. (2020). Improved Memetic Algorithm for Multi-depot Multi-objective Capacitated Arc Routing Problem. In MATEC Web of Conferences (Vol. 308, p. 01002). EDP Sciences. [5] Mor, A., & Speranza, M. G. (2020). Vehicle routing problems over time: a survey. 4OR, 1-21. [6] Nosrati, M., & Khamseh, A. (2020). Bi objective hybrid vehicle routing problem with alternative paths and reliability. Decision Science Letters, 9(2), 145-162. [7] Deng, J., & Wang, L. (2017). A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem. Swarm and evolutionary computation, 32, 121-131. [8] Duran-Micco, J., Vermeir, E., & Vansteenwegen, P. (2020). Considering emissions in the transit network design and frequency setting problem with a heterogeneous fleet. European Journal of Operational Research, 282(2), 580-592. [9] Neira, D. A., Aguayo, M. M., & Klapp, M. A. (2020). New compact integer programming formulations for the multi-trip vehicle routing problem with time windows. Computers & Industrial Engineering, 106399. [10] Smiti, N., Dhiaf, M. M., Jarboui, B., & Hanafi, S. (2020). Skewed general variable neighborhood search for the cumulative capacitated vehicle routing problem. International Transactions in Operational Research, 27(1), 651-664. [11] M’Hallah, R. (2020). Combining Exact Methods to Construct Effective Hybrid Approaches to Vehicle Routing. In Women in Industrial and Systems Engineering (pp. 435-456). Springer, Cham. [12] Blocho, M. (2020). Parallel algorithms for solving rich vehicle routing problems. In Smart Delivery Systems (pp. 185-201). Elsevier. [13] Molina, J. C., Salmeron, J. L., & Eguia, I. (2020). An ACS-based Memetic algorithm for the Heterogeneous Vehicle Routing Problem with time windows. Expert Systems with Applications, 113379. [14] Ghosh, M., Begum, S., Sarkar, R., Chakraborty, D., & Maulik, U. (2019). Recursive memetic algorithm for gene selection in microarray data. Expert Systems with Applications, 116, 172-185. [15] Viloria, A., Guerrero, I. M., Caraballo, H. M., Llinas, N. O., Valero, L., Palma, H. H., … Lezama, O. B. P. (2019). Effect on the demand and stock returns: Cross-sectional of big data and time-series analysis. In Communications in Computer and Information Science (Vol. 1122 CCIS, pp. 211–220). Springer. https://doi.org/10.1007/978-981-15-1301-5_17 [16] Viloria, A., Crissien Borrero, T., Vargas Villa, J., Torres, M., García Guiliany, J., Vargas Mercado, C., … Batista Zea, K. (2019). Differential evolution clustering and data mining for determining learning routes in moodle. In Communications in Computer and Information Science (Vol. 1071, pp. 170–178). Springer Verlag. https://doi.org/10.1007/978-981-32-9563-6_18 |
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Procedia Computer Science |
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amelec, viloria2f22a05451ff1bbfc2d4dd00035c952fLizardo Zelaya, Nelson Alberto7745fa78c84a95af117fd9a36213eaaaVarela, Noel544417e3ea23421c46114ee4f01f436a2021-01-05T14:33:11Z2021-01-05T14:33:11Z20201646-9895https://hdl.handle.net/11323/7658https://doi.org/10.1016/j.procs.2020.07.063Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The design of efficient routes for vehicles visiting a significant number of destinations is a critical factor for the competitiveness of many companies. The design of such routes is known as the vehicle routing problem. Indeed, efficient vehicle routing is one of the most studied problems in the areas of logistics and combinatorial optimization. The present study presents a memetic algorithm that evolves using a mechanism inspired by virus mutations. Additionally, the algorithm uses Taboo Search as an intensification mechanism.application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Procedia Computer Sciencehttps://www.sciencedirect.com/science/article/pii/S1877050920317440The problem of routing vehiclesLimited capacityMemetic algorithmSearch for optimal routes on roads applying metaheuristic algorithmsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Peng, B., Zhang, Y., Lü, Z., Cheng, T. C. E., & Glover, F. (2020). A learning-based memetic algorithm for the multiple vehicle pickup and delivery problem with LIFO loading. Computers & Industrial Engineering, 142, 106241.[2] Yağmur, E., & Kesen, S. E. (2020). A memetic algorithm for joint production and distribution scheduling with due dates. Computers & Industrial Engineering, 142, 106342.[3] Li, X., Shi, X., Zhao, Y., Liang, H., & Dong, Y. (2020). SVND Enhanced Metaheuristic for Plug-In Hybrid Electric Vehicle Routing Problem. Applied Sciences, 10(2), 441.[4] Wan, J., Chen, X., & Li, R. (2020). Improved Memetic Algorithm for Multi-depot Multi-objective Capacitated Arc Routing Problem. In MATEC Web of Conferences (Vol. 308, p. 01002). EDP Sciences.[5] Mor, A., & Speranza, M. G. (2020). Vehicle routing problems over time: a survey. 4OR, 1-21.[6] Nosrati, M., & Khamseh, A. (2020). Bi objective hybrid vehicle routing problem with alternative paths and reliability. Decision Science Letters, 9(2), 145-162.[7] Deng, J., & Wang, L. (2017). A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem. Swarm and evolutionary computation, 32, 121-131.[8] Duran-Micco, J., Vermeir, E., & Vansteenwegen, P. (2020). Considering emissions in the transit network design and frequency setting problem with a heterogeneous fleet. European Journal of Operational Research, 282(2), 580-592.[9] Neira, D. A., Aguayo, M. M., & Klapp, M. A. (2020). New compact integer programming formulations for the multi-trip vehicle routing problem with time windows. Computers & Industrial Engineering, 106399.[10] Smiti, N., Dhiaf, M. M., Jarboui, B., & Hanafi, S. (2020). Skewed general variable neighborhood search for the cumulative capacitated vehicle routing problem. International Transactions in Operational Research, 27(1), 651-664.[11] M’Hallah, R. (2020). Combining Exact Methods to Construct Effective Hybrid Approaches to Vehicle Routing. In Women in Industrial and Systems Engineering (pp. 435-456). Springer, Cham.[12] Blocho, M. (2020). Parallel algorithms for solving rich vehicle routing problems. In Smart Delivery Systems (pp. 185-201). Elsevier.[13] Molina, J. C., Salmeron, J. L., & Eguia, I. (2020). An ACS-based Memetic algorithm for the Heterogeneous Vehicle Routing Problem with time windows. Expert Systems with Applications, 113379.[14] Ghosh, M., Begum, S., Sarkar, R., Chakraborty, D., & Maulik, U. (2019). Recursive memetic algorithm for gene selection in microarray data. Expert Systems with Applications, 116, 172-185.[15] Viloria, A., Guerrero, I. M., Caraballo, H. M., Llinas, N. O., Valero, L., Palma, H. H., … Lezama, O. B. P. (2019). Effect on the demand and stock returns: Cross-sectional of big data and time-series analysis. In Communications in Computer and Information Science (Vol. 1122 CCIS, pp. 211–220). Springer. https://doi.org/10.1007/978-981-15-1301-5_17[16] Viloria, A., Crissien Borrero, T., Vargas Villa, J., Torres, M., García Guiliany, J., Vargas Mercado, C., … Batista Zea, K. (2019). Differential evolution clustering and data mining for determining learning routes in moodle. In Communications in Computer and Information Science (Vol. 1071, pp. 170–178). 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