Contenido sugerido

1. Algoritmos meméticos
2. Optimización multi-objetivo
3. Optimización con restricciones
4. Algoritmos evolutivos paralelos

Sugerencias de Bibliografia

1. F. Neri, C. Cotta, P. Moscato. Handbook of Memetic Algorithms. Springer, 2012.
2. C. Coello, G. B. Lamont, D. Van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems. Springer, 2007.
3. E. Mezura-Montes. Constraint-Handling in Evolutionary Optimization. Springer, 2009.
4. E. Alba. Parallel Metaheuristics: A New Class of Algorithms. Wiley, 2005.
5. El-Ghazali Talbi. Metaheuristics: From Design to Implementation. Wiley, 2009.
6. J. Dréo, A. Pétrowski, P. Siarry, E. Taillard. Metaheuristics for Hard Optimization.
7. F. Glover, G. A. Kochenberger. Handbook of Metaheuristics. Kluwer Academic Publishers, 2003.
8. Michel Gendreau, Jean-Yves Potvin. Handbook of Metaheuristics. Springer, 2010.
9. S. Luke. Essential of Metaheuristics. 2013.
10. A. E. Eiben, J. E. Smith. Introduction to Evolutionary Computing. Springer, 2003.
11. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs. Springer, 1996.