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A GA(TS) hybrid algorithm for scheduling in computational grids

Autor
Xhafa, F.; González, J. A.; Dahal, K. P.; Abraham, A.
Tipus d'activitat
Article en revista
Revista
Lecture notes in computer science
Data de publicació
2009
Volum
5572
Pàgina inicial
285
Pàgina final
292
DOI
https://doi.org/10.1007/978-3-642-02319-4_34 Obrir en finestra nova
URL
https://link.springer.com/chapter/10.1007/978-3-642-02319-4_34 Obrir en finestra nova
Resum
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In this paper we present a hybridization of Genetic Algorithms (GAs) and Tabu Search (TS) for scheduling in computational grids. The purpose in this hybridization is to benefit the exploration of the solution space by a population of individuals with the exploitation of solutions through a smart search of the TS. Our GA(...
Paraules clau
Computational grid, Grid resource, Hybrid algorithm, Tabu search, Tabu search algorithm
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants

  • Xhafa Xhafa, Fatos  (autor)
  • González, Juan A.  (autor)
  • Dahal, Keshav P.  (autor)
  • Abraham, Ajith  (autor)