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A Two-Phase Iterative Search Procedure: The GRASP Method

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Metaheuristics

Abstract

The GRASP method generates several configurations within the search space of a given problem based on which it carries out an improvement phase.

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References

  1. Binato, S., Hery, W.J., Loewenstern, D.M., Resende, M.G.C.: A greedy randomized adaptive search procedure for job shop scheduling. IEEE Transactions on Power Systems 16, 247–253 (2001)

    Google Scholar 

  2. Pitsoulis, L.S., Pardalos, P.M., Hearn, D.W.: Approximate solutions to the turbine balancing problem. European Journal of Operational Research 130(1), 147–155 (2001)

    Article  MATH  Google Scholar 

  3. Marinakis, Y., Migdalas, A., Pardalos, P.M.: Expanding neighborhood GRASP for the traveling salesman problem. Computational Optimization and Applications 32(3), 231–257 (2005)

    Google Scholar 

  4. Hashimoto, H., Boussier, S., Vasquez, M., Wilbaut, C.: A GRASP-based approach for technicians and interventions scheduling for telecommunications. Annals of Operations Research 183(1), 143–161 (2011)

    Google Scholar 

  5. Festa, P., Resende, M.: GRASP: An annotated bibliography. In: Essays and Surveys on Metaheuristics, C.C. Ribeiro and P. Hansen (eds.), Kluwer Academic, pp. 325–367 (2002)

    Google Scholar 

  6. Garey, M., Johnson, D.: Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman (1979)

    Google Scholar 

  7. Feo, T., Resende, M.: Greedy randomized adaptive search procedures. Journal of Global Optimization 6, 109–134 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  8. Beasley, J.E.: OR-Library: Distributing test problems by electronic mail. Journal of the Operational Research Society 41(11), 1069–1072 (1990)

    Google Scholar 

  9. Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical Recipes in C, 2nd edition. Cambridge University Press (1992)

    Google Scholar 

  10. Ostrowski, J., Linderoth, J., Rossi, F., Smriglio, S.: Solving large Steiner triple covering problems. Operations Research Letters 39(2), 127–131 (2011)

    Google Scholar 

  11. Azimi, Z.N., Toth, P., Galli, L.: An electromagnetism metaheuristic for the unicost set covering problem. European Journal of Operational Research 205(2), 290–300 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  12. Caprara, A., Fischetti, M., Toth, P.: Algorithms for the set covering problem. Annals of Operations Research 98, 2000 (1998)

    MathSciNet  MATH  Google Scholar 

  13. Glover, F., Laguna, M.: Tabu Search. Kluwer Academic, vol. 7, pp. 239–240 (1997)

    Google Scholar 

  14. Nebel, B. (ed.): Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle, August 4–10, 2001. Morgan Kaufmann (2001)

    Google Scholar 

  15. Dammeyer, F., Voß, S.: Dynamic tabu list management using the reverse elimination method. Annals of Operations Research 41(2), 29–46 (1993)

    Google Scholar 

  16. Aiex, R.M., Binato, S., Resende, M.G.C.: Parallel GRASP with path-relinking for job shop scheduling. Parallel Computing 29, 393–430 (2002)

    Google Scholar 

  17. Crainic, T.G., Mancini, S., Perboli, G., Tadei, R.: GRASP with path relinking for the two-echelon vehicle routing problem. Advances in Metaheuristics, Operations Research/Computer Science Interfaces Series 53, 113–125 (2013)

    Google Scholar 

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Correspondence to Michel Vasquez .

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Vasquez, M., Buljubašić, M. (2016). A Two-Phase Iterative Search Procedure: The GRASP Method. In: Siarry, P. (eds) Metaheuristics. Springer, Cham. https://doi.org/10.1007/978-3-319-45403-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-45403-0_5

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