On solving the most strings with few bad columns problem: An ILP model and heuristics
Tipus de documentComunicació de congrés
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
The most strings with few bad columns problem is an NP-hard combinatorial optimization problem from the bioinformatics field. This paper presents the first integer linear programming model for this problem. Moreover, a simple greedy heuristic and a more sophisticated extension, namely a greedy-based pilot method, are proposed. Experiments show that, as expected, the greedy-based pilot method improves over the greedy strategy. For problem instances of small and medium size the best results were obtained by solving the integer linear programming model by CPLEX, while the greedy-based pilot methods scales much better to large problem instances.
CitacióLizárraga, E., Blesa, M., Blum, C., Raidl, G. On solving the most strings with few bad columns problem: An ILP model and heuristics. A: International Symposium on Innovations in Intelligent SysTems and Applications. "INSTA 2015: 2015 International Symposium on Innovations in Intelligent SysTems and Applications: September 2-4, 2015, Madrid, Spain: proceedings". Madrid: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1-8.
Versió de l'editorhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7276795