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Lectura obligatoria y recomendada

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Autores: Yago Saez, Pedro Isasi
En este apartado encontraremos enlaces a ficheros (HTML, PDF, Word...) de materiales de lectura de la asignatura, listado bibliográfico o enlaces web a lecturas online.

Lectura Obligatoria


  • LO-B-001. Metaheuristics: From design to Implementation. El-Ghazali Talbi, ISBN: 978-0-470-27858-1, (2009).
  • LO-B-002. An introduction to Genetic Algorithm. M. Mitchell, ISBN-10: 0-262-63185-7, (1998)
  • LO-B-003. How learning can guide evolution. Complex Systems 1.Geoffrey E. Hinton and Steven J. Nowlan, Ed. Witley, pp. 495-502 (1987).
  • LO-B-004. Cooperation and community structure in artificial ecosystems. Kristian Lindgren and Mats G. Nordahl, Ed. MITPress, Vol 1, no. 1-2, pp. 15-37, (1994).
  • LO-B-005. Aprendizaje automático. D. Borrajo, J. González y P. Isasi, Sanz y Torres, (2006).
  • LO-B-006. Genetic algorithms in search, optimization, and machine learning. David E. Goldberg, Addison-Wesley, 1989.

 

  • LO-E-001. An introduction to Genetic Algorithms, Tutorial online de Marek Obitko (HTML)
  • LO-E-002. How learning can guide evolution (HTML)

 

Lectura Recomendada


  • LO-B-007. Evolutionary algorithms in theory and practice : evolution strategies, evolutionary programming, genetic algorithms. Bäck, Thomas, Oxford University Press. 1996.
  • LO-B-008. Genetic programming : on the programming of computers by means of natural selection. John R. Koza, MIT press. 1992.
  • LO-B-009. Genetic algorithms + data structures = evolution programs. Michalewicz, Zbigniew, Springer, 1992.
  • LO-B-010. Foundations of genetic algorithms. Rawlins, Gregory J.E., Morgan Kaufman, 1991
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