Free Access
Volume 501, Number 3, July III 2009
Page(s) 1259 - 1268
Section Numerical methods and codes
Published online 29 April 2009
  1. Anglada, G., Rodríguez, L. F., Torrelles, J. M., et al. 1989, ApJ, 341, 208 [NASA ADS] [CrossRef] [Google Scholar]
  2. Bachiller, R., Martin-Pintado, J., Tafalla, M., Cernicharo, J. & Lazareff, B. 1990, A&A, 231(1), 174 [NASA ADS] [Google Scholar]
  3. Barsony, M., Ward-Thompson, D., André, P., & O'Linger, J. 1998, ApJ, 509, 733 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bounds, D. 1987, Nature, 329, 215 [NASA ADS] [CrossRef] [Google Scholar]
  5. Brooks, S. H. 1958, Op. Res., 6, 244 [CrossRef] [Google Scholar]
  6. Charbonneau, P. 1995, ApJS, 101, 309 [NASA ADS] [CrossRef] [Google Scholar]
  7. Charbonneau, P., & Knapp, B. 1995, A User's guide to PIKAIA 1.0, NCAR Technical Note 418+IA (Boulder: National Center for Atmospheric Research) [Google Scholar]
  8. Curiel, S., Raymond, J. C., Moran, J. M., Rodríguez, L. F., & Cantó, J. 1990, ApJ, 365, L85 [NASA ADS] [CrossRef] [Google Scholar]
  9. Curiel, S., Girart, J. M., Fernández-López, M., Cantó, J., & Rodríguez, L. F. 2009, ApJ, submitted [Google Scholar]
  10. Everitt, B. S. 1987, in Introduction to optimization methods and their application to statistics (UK: Chapman & Hall, Ltd) [Google Scholar]
  11. Fischer, D. A., Marcy, G. W., Butler, R. P., et al. 2008, ApJ, 675, 790 [NASA ADS] [CrossRef] [Google Scholar]
  12. Fogel, L. J., Owens A. J., & Walsh, M. J. 1966, Artificial Intelligence through simulated evolution (New York: Wiley & Sons) [Google Scholar]
  13. Girart, J. M., & Acord, J. M. P. 2001, ApJ, 552, L63 [NASA ADS] [CrossRef] [Google Scholar]
  14. Goldberg, D. E. 1989, in Genetic Algorithms in Search, Optimization and Machine Learning (USA: Addison Wesley Longman Publishing Co) [Google Scholar]
  15. Guus, C., Boender, E., & Romeijn, H. E. 1995, Stochastic methods, in Handbook of global optimization, ed. R. Horst, & P. M. Pardalos (Dordrecht, The Netherlands: Kluwer Academic Publishers), 829 [Google Scholar]
  16. Holland, J. 1975, in Adaptation in Natural and Artificial Systems [Google Scholar]
  17. Horst, R., & Tuy, H. 1990, in Global optimization: Deterministic approaches (Berlin: Springer-Verlag) [Google Scholar]
  18. Kirkpatrick, S., Gellatt, C. D., & Vecchi, M. P. 1983, Science, 220, 671 [NASA ADS] [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  19. Lee, M. H., & Peale, S. J. 2003, ApJ, 592, 1201 [NASA ADS] [CrossRef] [Google Scholar]
  20. Marcy, G. W., Butler R. P., Fischer, D. A., et al. 2002, ApJ, 581, 1375 [NASA ADS] [CrossRef] [Google Scholar]
  21. McCall, J. 2005, J. Comput. Appl. Math., 184, 205 [Google Scholar]
  22. Mayor, M., & Queloz, D. 1995, Nature, 378, 355 [NASA ADS] [CrossRef] [Google Scholar]
  23. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 1996, in Numerical recipes in Fortran 77 (UK: Cambridge University Press), 1 [Google Scholar]
  24. Reipurth, B., Rodríguez, L. F., Anglada, G., & Bally, J. 2002, AJ, 124, 1045 [NASA ADS] [CrossRef] [Google Scholar]
  25. Schwefel, H. P. 1995, in Evolution and optimum seeking (New York: Wiley & Sons) [Google Scholar]
  26. Törn, A. 1973, Global optimization as a combination of global and local search, Proceedings of computer simulation versus analytical solutions for business and economic models, Gothenburg, Sweden, 191 [Google Scholar]

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