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| DOI | 10.1016/J.EJOR.2014.10.049 | ||||
| Año | 2015 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
The minimum common string partition problem is an NP-hard combinatorial optimization problem with applications in computational biology. In this work we propose the first integer linear programming model for solving this problem. Moreover, on the basis of the integer linear programming model we develop a deterministic 2-phase heuristic which is applicable to larger problem instances. The results show that provenly optimal solutions can be obtained for problem instances of small and medium size from the literature by solving the proposed integer linear programming model with CPLEX. Furthermore, new best-known solutions are obtained for all considered problem instances from the literature. Concerning the heuristic, we were able to show that it outperforms heuristic competitors from the related literature. (C) 2014 Elsevier B.V. All rights reserved.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Blum, Christian | Hombre |
Univ Basque Country UPV EHU - España
Ikerbasque - España Universidad del País Vasco - España Ikerbasque, the Basque Foundation for Science - España Ikerbasque, Basque Foundation for Science - España |
| 2 | Lozano, Jose A. | Hombre |
Univ Basque Country UPV EHU - España
Universidad del País Vasco - España |
| 3 | PINACHO-DAVIDSON, PEDRO PABLO | Hombre |
Univ Basque Country UPV EHU - España
Universidad Santo Tomás - Chile Universidad del País Vasco - España |
| Fuente |
|---|
| Spanish Ministry of Science and Innovation |
| Ministerio de Ciencia e Innovación |
| Spanish Government |
| Ministerio de Ciencia e Innovación |
| Eusko Jaurlaritza |
| Ikerbasque, Basque Foundation for Science |
| COMBIOMED network in computational bio-medicine (Carlos III Health Institute) |
| Saiotek |
| Agradecimiento |
|---|
| C. Blum was supported by project TIN2012-37930 of the Spanish Government. In addition, support is acknowledged from Ikerbasque, Basque Foundation for Science. J. A. Lozano was partially supported by the Saiotek and IT609-13 programs (Basque Government), TIN2013-41272-P (Spanish Ministry of Science and Innovation), COMBIOMED network in computational bio-medicine (Carlos III Health Institute). Our experiments have been executed in the High Performance Computing environment managed by RDlab (http://rdlab.lsi.upc.edu) and we would like to thank them for their support. |
| C. Blum was supported by project TIN2012-37930 of the Spanish Government. In addition, support is acknowledged from Ikerbasque, Basque Foundation for Science. J. A. Lozano was partially supported by the Saiotek and IT609-13 programs ( Basque Government ), TIN2013-41272-P (Spanish Ministry of Science and Innovation), COMBIOMED network in computational bio-medicine (Carlos III Health Institute). Our experiments have been executed in the High Performance Computing environment managed by RDlab ( http://rdlab.lsi.upc.edu ) and we would like to thank them for their support. |