Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem

Broderick Crawford; Ricardo Soto; Luis Riquelme; Eduardo Olguin

doi:10.1109/CISTI.2016.7521402

Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem

Broderick Crawford, Ricardo Soto, Luis Riquelme, Eduardo Olguin

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

Biogeography-Based Optimization Algorithm (BBOA) is a new kind of global optimization algorithm inspired by biogeography, which mimics the migration behavior of animals in nature to solve optimization and engineering problems. In this paper, we proposed BBOA for solving the Set Covering Problem (SCP). The SCP is a classic combinatorial problem from NP-hard list problems, consisting in find a set of solutions that cover a range of needs at the lowest possible cost with certain constraints. Moreover, we proposed a new feature for improve performance of BBOA, improving stagnation in local optimum. Finally, the experiments with BBOA to solve these problems, show very good results.

Título traducido de la contribución	Biogeography-based optimization algorithm for the Set Covering Problem
Idioma original	Español
Título de la publicación alojada	Proceedings of the 11th Iberian Conference on Information Systems and Technologies, CISTI 2016
Editores	Alvaro Rocha, Luis Paulo Reis, Manuel Perez Cota, Ramiro Goncalves, Octavio Santana Suarez
Editorial	IEEE Computer Society
ISBN (versión digital)	9789899843462
DOI	https://doi.org/10.1109/CISTI.2016.7521402
Estado	Publicada - 25 jul. 2016
Publicado de forma externa	Sí
Evento	11th Iberian Conference on Information Systems and Technologies, CISTI 2016 - Gran Canaria, Espana Duración: 15 jun. 2016 → 18 jun. 2016

Serie de la publicación

Nombre	Iberian Conference on Information Systems and Technologies, CISTI
Volumen	2016-July
ISSN (versión impresa)	2166-0727
ISSN (versión digital)	2166-0735

Conferencia

Conferencia	11th Iberian Conference on Information Systems and Technologies, CISTI 2016
País/Territorio	Espana
Ciudad	Gran Canaria
Período	15/06/16 → 18/06/16

Palabras clave

Biogeography-Based Optimización Algorithm
Set Covering Problem

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10.1109/CISTI.2016.7521402

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Crawford, B., Soto, R., Riquelme, L., & Olguin, E. (2016). Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem. En A. Rocha, L. P. Reis, M. P. Cota, R. Goncalves, & O. S. Suarez (Eds.), Proceedings of the 11th Iberian Conference on Information Systems and Technologies, CISTI 2016 [7521402] (Iberian Conference on Information Systems and Technologies, CISTI; Vol. 2016-July). IEEE Computer Society. https://doi.org/10.1109/CISTI.2016.7521402

Crawford, Broderick ; Soto, Ricardo ; Riquelme, Luis et al. / Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem. Proceedings of the 11th Iberian Conference on Information Systems and Technologies, CISTI 2016. editor / Alvaro Rocha ; Luis Paulo Reis ; Manuel Perez Cota ; Ramiro Goncalves ; Octavio Santana Suarez. IEEE Computer Society, 2016. (Iberian Conference on Information Systems and Technologies, CISTI).

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title = "Algoritmo de Optimizaci{\'o}n basado en Biogeograf{\'i}a para resolver el Set Covering Problem",

abstract = "Biogeography-Based Optimization Algorithm (BBOA) is a new kind of global optimization algorithm inspired by biogeography, which mimics the migration behavior of animals in nature to solve optimization and engineering problems. In this paper, we proposed BBOA for solving the Set Covering Problem (SCP). The SCP is a classic combinatorial problem from NP-hard list problems, consisting in find a set of solutions that cover a range of needs at the lowest possible cost with certain constraints. Moreover, we proposed a new feature for improve performance of BBOA, improving stagnation in local optimum. Finally, the experiments with BBOA to solve these problems, show very good results.",

keywords = "Biogeography-Based Optimizaci{\'o}n Algorithm, Set Covering Problem",

author = "Broderick Crawford and Ricardo Soto and Luis Riquelme and Eduardo Olguin",

note = "Publisher Copyright: {\textcopyright} 2016 AISTI.; null ; Conference date: 15-06-2016 Through 18-06-2016",

year = "2016",

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doi = "10.1109/CISTI.2016.7521402",

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series = "Iberian Conference on Information Systems and Technologies, CISTI",

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Crawford, B , Soto, R, Riquelme, L & Olguin, E 2016, Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem. En A Rocha, LP Reis, MP Cota, R Goncalves & OS Suarez (eds.), Proceedings of the 11th Iberian Conference on Information Systems and Technologies, CISTI 2016., 7521402, Iberian Conference on Information Systems and Technologies, CISTI, vol. 2016-July, IEEE Computer Society, 11th Iberian Conference on Information Systems and Technologies, CISTI 2016, Gran Canaria, Espana, 15/06/16. https://doi.org/10.1109/CISTI.2016.7521402

Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem. / Crawford, Broderick ; Soto, Ricardo; Riquelme, Luis et al.

Proceedings of the 11th Iberian Conference on Information Systems and Technologies, CISTI 2016. ed. / Alvaro Rocha; Luis Paulo Reis; Manuel Perez Cota; Ramiro Goncalves; Octavio Santana Suarez. IEEE Computer Society, 2016. 7521402 (Iberian Conference on Information Systems and Technologies, CISTI; Vol. 2016-July).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Crawford, Broderick

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N2 - Biogeography-Based Optimization Algorithm (BBOA) is a new kind of global optimization algorithm inspired by biogeography, which mimics the migration behavior of animals in nature to solve optimization and engineering problems. In this paper, we proposed BBOA for solving the Set Covering Problem (SCP). The SCP is a classic combinatorial problem from NP-hard list problems, consisting in find a set of solutions that cover a range of needs at the lowest possible cost with certain constraints. Moreover, we proposed a new feature for improve performance of BBOA, improving stagnation in local optimum. Finally, the experiments with BBOA to solve these problems, show very good results.

AB - Biogeography-Based Optimization Algorithm (BBOA) is a new kind of global optimization algorithm inspired by biogeography, which mimics the migration behavior of animals in nature to solve optimization and engineering problems. In this paper, we proposed BBOA for solving the Set Covering Problem (SCP). The SCP is a classic combinatorial problem from NP-hard list problems, consisting in find a set of solutions that cover a range of needs at the lowest possible cost with certain constraints. Moreover, we proposed a new feature for improve performance of BBOA, improving stagnation in local optimum. Finally, the experiments with BBOA to solve these problems, show very good results.

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Crawford B , Soto R, Riquelme L, Olguin E. Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem. En Rocha A, Reis LP, Cota MP, Goncalves R, Suarez OS, editores, Proceedings of the 11th Iberian Conference on Information Systems and Technologies, CISTI 2016. IEEE Computer Society. 2016. 7521402. (Iberian Conference on Information Systems and Technologies, CISTI). doi: 10.1109/CISTI.2016.7521402

Algoritmo de Optimización basado en Biogeografía para resolver el Set Covering Problem

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