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Efficient parallel LAN/WAN algorithms for optimization: The mallba project

Autor
Alba, E.; Almeida, F.; Blesa, M.; Cotta, C.; Díaz, M.; Dorta, I.; Gabarro, J.; León, C.; Luque, G.; Petit, J.; Rodríguez, C.; Rojas, A.; Xhafa, F.
Tipus d'activitat
Article en revista
Revista
Parallel computing
Data de publicació
2006-06
Volum
32
Número
5-6
Pàgina inicial
415
Pàgina final
440
DOI
https://doi.org/10.1016/j.parco.2006.06.007 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/129277 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0167819106000329 Obrir en finestra nova
Resum
The mallba project tackles the resolution of combinatorial optimization problems using generic algorithmic skeletons implemented in C++. A skeleton in the mallba library implements an optimization method in one of the three families of generic optimization techniques offered: exact, heuristic and hybrid. Moreover, for each of those methods, mallba provides three different implementations: sequential, parallel for Local Area Networks, and parallel for Wide Area Networks. This paper introduces the...
Citació
Alba, E. [et al.]. Efficient parallel LAN/WAN algorithms for optimization: The mallba project. "Parallel computing", Juny 2006, vol. 32, núm. 5-6, p. 415-440.
Paraules clau
Combinatorial optimization, Exact techniques, Hybridization, Local and wide area implementations, Metaheuristics, Parallel algorithms, Software engineering, mallba library
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants