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

Author
Xhafa, F.; González, J. A.; Dahal, K. P.; Abraham, A.
Type of activity
Journal article
Journal
Lecture notes in computer science
Date of publication
2009
Volume
5572
First page
285
Last page
292
DOI
https://doi.org/10.1007/978-3-642-02319-4_34 Open in new window
URL
https://link.springer.com/chapter/10.1007/978-3-642-02319-4_34 Open in new window
Abstract
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(...
Keywords
Computational grid, Grid resource, Hybrid algorithm, Tabu search, Tabu search algorithm
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

Participants

  • Xhafa Xhafa, Fatos  (author)
  • González Sánchez, Juan Antonio  (author)
  • Dahal, Keshav P.  (author)
  • Abraham, Ajith  (author)