GRASP bibliography: Biology

  1. Heuristics for the phylogeny problem

    A. Andreatta and C.C. Ribeiro

    Journal of Heuristics, 8:429-447, 2002.

  2. Motif-GRASP and Motif-ILS: Two new stochastic local search algorithms for motif finding

    M. Andronescu and B. Rastegari

    Technical report, Computer Science Department, University of British Columbia, Vancouver, Canada, 2003.

  3. Algorithmic methods in genetic mapping

    D.C. Brown

    PhD thesis, Cornell University, Ithaca, NY, USA, 2000.

  4. Selecting mapping: A discrete optimization approach to select a population subset for use in a high-density genetic mapping project

    D.G. Brown, T.J. Vision, and S.D. Tanksley

    Genetics, 155:407-420, 2000.

  5. The footprint sorting problem

    C. Fried, W. Hordijk, S.J. Prohaska, C.R. Stradler, and P.F. Stradler

    Technical report, Bioinformatics, Department of Computer Science, University of Leipzig, Germany, 2003.

  6. Predicting muscle fatique via electromyography: A comparative study

    V.I. Iorvik, E. Triantaphyllou, T.W. Liao, and S.M. Waly

    In Proceedings of the 25th International Conference on Computers and Industrial Engineering, pages 277-280, March 1999.

  7. A GRASP approach to the protein structure prediction problem

    N. Krasnogor, D.A. Pelta, W. Russo, and G. Terrazas

    Technical report, LIFIA Lab, University of La Plata, La Plata, Argentina, 1998.

  8. Algorithms for identification key generation and optimization with application to yeast identification

    A.P. Reynolds, J.L. Dicks, I.N. Roberts, J.J. Wesselink, B. de la Iglesia, V. Robert, T. Boekhout, and V.J. Rayward-Smith

    In Applications of Evolutionary Computing, volume 2611 of Lecture Notes in Computer Science, pages 107-118. Springer-Verlag, 2003.

  9. A GRASP/VND heuristic for the phylogeny problem using a new neighborhood structure

    C.C. Ribeiro and D.S. Vianna

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