Open Access
Int. J. Simul. Multidisci. Des. Optim.
Volume 3, Number 4, December 2009
Page(s) 424 - 431
Published online 20 July 2011
  1. J. Andersson, A survey of multiobjective optimization in engineering design , Technical Report LiTH-IKP-R-1097, Sweden, (2000) [Google Scholar]
  2. T. Back, F. Hoffmeister, H. P. Schwefel. A Survey of Evolution Strategies , In Proceedings of the Fourth International Conference on Genetic Algorithms, Los Altos, California, USA, (1991) [Google Scholar]
  3. T. Back, Evolutionary algorithms in theory and practice , Oxford University Press, (1996) [Google Scholar]
  4. C. M. Fonseca, Multiobjective Genetic Algorithms with Applications to Control Engineering Problems , PhD Thesis, University of Sheffield (1995) [Google Scholar]
  5. R. L. Fox, Optimization Methods for Engineering Design , Addison-Wesley, Reading, Massachusetts, (1971) [Google Scholar]
  6. J. Garcá de Jalón, E. Bayo, Kinematic and dynamic simulation of multibody systems. The real-time challenge , (Springer-Verlag, New Cork, 1994) [Google Scholar]
  7. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning , (Addinson-Wesley, Reading, Massachusetts, 1989) [Google Scholar]
  8. G. Guralnik, C. Zemach, T. Warnock, An algorithm for uniform random sampling of points in and on a hypersphere , Inf. Process. Lett. 21, 17-21, (1985) [Google Scholar]
  9. C. Hamzacebi, F. Kutay, A heuristic approach for finding the global minimum: Adaptive random search technique , Appl. Math. Comput. 173, 1323-1333, (2006) [Google Scholar]
  10. J. H. Holland, Adaptation on Natural and Artificial Systems , MIT Press, Cambridge, Massachusetts, (1975) [Google Scholar]
  11. J. Jezowski, R. Bochenek, G. Ziomek, Random search optimization approach for highly multi-modal nonlinear problems , Adv. Eng. Softw. 36, 504-517, (2005) [Google Scholar]
  12. S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, Optimization by Simulated Annealing , Science 220, 671-680, (1983) [Google Scholar]
  13. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs , (Springer-Verlag, 1992) [Google Scholar]
  14. J. Nie, B. R. Ellingwood, Directional methods for structural reliability analysis , Struct. Saf. 22, 233-249, (2000) [Google Scholar]
  15. A. Noriega, E. Rodríguez, J. L. Cortizo, R. Vijande, J.M. Sierra, textit A new evolution strategy for the unconstrained optimization problem , In Proceedings of Second International Conference on Multidisciplinary Design Optimization and Applications, Gijón, Spain, (2008) [Google Scholar]
  16. A. Noriega, Síntesis dimensional óptima de mecanismos mediante estrategias evolutivas , PhD. Thesis, University of Oviedo (2008) [Google Scholar]
  17. S. S. Rao, Engineering Optimization, Theory and Practice , John Wiley & Sons, New York, (1996) [Google Scholar]
  18. H. P. Schwefel, Evolution and Optimum Seeking , John Wiley & Sons, New York, (1995) [Google Scholar]

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