GRASP bibliography: Miscelleneous topics

  1. Randomized algorithms for scene recognition by inexact graph matching

    M.C. Boeres, C.C. Ribeiro, and I. Bloch

    Technical report, Computer Science Department, Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil, 2003.

  2. The greedy algorithm and its application to the construction of a continuous speech database

    H. Frac cois and O. Boëffard

    In Proceedings of LREC-2002, volume 5, pages 1420-1426, May 29-31 2002.

  3. Subset selection in multiple linear regression: A new mathematical programming approach

    R. Demirer and B. Eksioglu

    Technical Report School of business working paper no. 284, School of business, University of Kansas, Lawrence, Kansas, USA, 1998.

  4. Algoritmos e estratégias de soluc cão para o problema do gerenciamento de sondas de produc cão terrestre na bacia petrolífera potiguar

    T. Ferreira de Noronha

    Revista Electr^onica de Iniciac cão Cientifica, 1, 2001.

  5. Integrating heuristics and spatial databases: A case study

    C. Carvalho de Souza, C. Bauzer Medeiros, and R. Scachetti Pereira

    Technical Report IC-96-18, Institute of Computing, Universidade Estadual de Campinas, Campinas, Brazil, 1996.

  6. GRASP in switching input optimal control synthesis

    P. Festa and G. Raiconi

    In Proceedings of MIC'2001, pages 381-385, July 16-20 2001.

  7. Computational aspects of the maximum diversity problem

    J.B. Ghosh

    Operations Research Letters, 19:175-181, 1996.

  8. A GRASP approach to the nesting problem

    A.M. Gomes and J.F. Oliveira

    In Proceedings of MIC'2001, pages 47-52, July 16-20 2001.

  9. A first making use of GRASP for solving MOCO problems

    X. Gandibleux, D. Vancoppenolle, and D. Tuyttens

    Technical report, University of Valenciennes, France, 1998.

  10. A sampling-based heuristic for tree search applied to grammar induction

    H. Juillé and J.B. Pollack

    In Proceedings of the Fifteenth National Conference on Artificial Intelligence, July 26-30 1998.

  11. A class of heuristic methods for the maximization of the l1-norm over parallelotopes

    M. Locatelli

    Technical report, Dipartimento di Sistemi ed Informatica, Universitá di Firenze, Firenze, Italy, 1998.

  12. Bayesian discrete and global optimization

    J. Mockus, E. Eddy, A. Mockus, L. Mockus, and G.V. Reklaitis

    Kluwer Academic Publishers, 1997.

  13. Um algoritmo GRASP para o problema de transporte de derivados de petróleo em oleodutos

    R.L. Milidíu, A.A. Pessoa, V. Braconi, E.S. Laber, and Rey P.A

    In Proceedings of te XXXIII Brazilan Symposium on Operations Research, pages 237-246, November 6-9 2001.

  14. Piecewise linear time series estimation with GRASP

    M.C. Medeiros, M.G.C. Resende, and A. Veiga

    Computational Optimization and Applications, 19:127-144, 2001.

  15. A combinatorial approach to piecewise linear time analysis

    M.C. Medeiros, A. Veiga, and M.G.C. Resende

    Journal of Computational and Graphical Statistics, 11:236-258, 2002.

  16. GRASP for linear integer programming

    T. Neto and J.P. Pedroso

    In Proceedings of MIC'2001, pages 377-380, July 16-20 2001.

  17. GRASP for linear integer programming

    T. Neto and J.P. Pedroso

    In M.G.C. Resende and J.P. de Sousa, editors, Metaheuristics: Computer decision-making, pages 545-574. Kluwer Academic Publishers, 2003.

  18. GRASP implementations for the unconstrained binary quadratic optimization problem

    G. Palubeckis and A. Tomkevicius

    Information Technology and Control, 24:14-20, 2002.

  19. MAGMA: A multiagent architecture for metaheuristics

    A. Roli and M. Milano

    Technical Report DEIS-LIA-02-007, DEIS, Università degli Studi di Bologna, Bologna, Italy, 2002.

  20. Heuristic constraint propagation using local search for incomplete pruning and domain filtering of reduntant constraints for the social golfer problem

    M. Sellmann and W. Harvey

    In CPAIOR 2002), 2002.

  21. Experimental comparision of greedy randomized adaptive search procedures for the maximum diversity problem

    G.C. Silva, L.S. Ochi, and S.L. Martins

    Technical report, Department of Computer Science, Federal Fluminense University, Niterói, Brazil, 2003.