• Bibliografía

    La bibiografía para estos temas es muy abundante. Sólo se consignan algunos libros que podrán servir de referencia para los distintos temas. Se seleccionarán de algunos de ellos los capítulos que sirvan de base para cada uno. Todos los libros estarán disponibles para los alumnos.

    Los libros de Gendreau & Potvin (ver 9 abajo) y de Talbi (26) presentan un panorama bastante completo y actualizado de la mayoría las técnicas metaheurísticas.

    1. Aarts,E.,Korst,J.,"Simulated Annealing and Boltzmann Machines", Wiley, 1989.
    2. Aarts,E.,Lenstra,J.,(eds),"Local Search in Combinatorial Optimization", Wiley, 1997.
    3. Alba,E.,"Parallel Metaheuristics:A New Class of Algorithms", Wiley, 2005.
    4. Bonabeu,E., Dorigo, M.,Theraulaz, G:, "Swarm Intrelligence; from natural to artificial systems", Oxford Univesity Press,1999.
    5. Blum, C., Roli,A., "Metaheuristics in Combinatorial Optimization: Overview and Conceptual Comparison", ACM Computing Surveys, vol. 35,no 3, 2003, pp268-308.
    6. Corne, D., Dorigo,M., Glover,F.,(eds)"New ideas in Optimization", McGraw Hill, 1999.
    7. Davis,L.(ed),"Handbook of genetic algorithms", Reinhold, 1991.
    8. Dorigo, M and Stutzle., "Ant colony optimization",MIT Press, 2004.
    9. Gendreau,M., Potvin,J., "Handbook of Metaheuristics", Springer, 2010.
    10. Glover, F., De Werra, D., (eds), "Tabu search", Annals of Operations Research 41, Baltzer, 1993.
    11. Glover,F., Laguna,M., "Tabu Search", Kluwer Academic Pub., 1997.
    12. Glover,F., Kochenberger,G., "Handbook of Metaheuristics", Kluwer Academic Pub., 2003.
    13. Goldberg, D." Genetic Algorithms in Search, Optimization and Machine learning", Addison-Wesley, 1989.
    14. Haupt,R., Haupt,S., "Practical Genetic Algorithms", Willey, 1998.
    15. Hertz, A., "Les Méta-heuristiques: quelques conseils pour en faire bon usage", en "Gestion de Production e Ressources Humaines: méthodes de planification dans les systèms productifs", 2005, pp 205-222.
    16. Hertz,J., Krog,A., Palmer,R., "Introduction to the theory of neural computacion", Addison Wesley, 1991.
    17. Holland, J. "Adaptation in Natural and Artificial Systems: an Introductory Analysis with Applications to Biology, Control and Artificial Inteligence", Bradford, 1992.
    18. Laporte, G., Osman,I., (eds), "Mateheuristics in Combinatorial Optimization", Annals of Operations Research 63, Baltzer, 1996.
    19. Michalewicz, Z.,"Genetic algorithms + Data Structures = Evolution programs", Springer Verlag, 1996.
    20. Mitchell,M.,"An introduction to genetic algorithms (complex adaptive systems)", MIT Press, 1996.
    21. Osman,I.H., Kelly,J.,(eds) "Metaheuristics: theory and applications", Kluwer Academic Pub., 1996.
    22. Pham,D.,Karaboga,D." Intelligent Optimization Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing, and Neural Networks", Springer Verlag, 1998.
    23. Rayward-Smith,V.J., Osman,I.H., Reeves,C.R., "Modern Heuristic Search Methods", Wiley, 1996.
    24. Reeves, C. (ed), "Modern heuristics techniques for combinatorial Problems", Blackwell,1993.
    25. Resende, M., Ribeiro, C., "Optimization by GRASP", Springer,2016.
    26. Talbi, E.G. "Metaheuristics:from design to implementation", Wiley, 2009.
    27. Van Laarhoven,P., Aarts,E. "Simulated Annealing: theory and applications", Kluwer, 1988.