1. Barreto, A. M. S., Augusto, D. A., and Barbosa, H. J. C. (2009). On the characteristics of sequential decision problems and their impact on Evolutionary Computation and Reinforcement learning. In Proceedings of the International Conference on Artificial Evolution, page in press.
2. Baum, E. B. and Durdanovic, I. (2000). Evolution of cooperative problemsolving in an artificial economy. Neural Computation, 12:2743–2775.
3. El-Sourani, N., Hauke, S., and Borschbach, M. (2010). An evolutionary approach for solving the Rubik’s cube incorporating exact methods. In EvoApplications Part – 1: EvoGames, volume 6024 of LNCS, pages 80–89.
4. Harmeling, S., Dornhge, G., Tax, F., Meinecke, F., and Muller, K. R. (2006). Fromoutliers to prototypes:Ordering data. Neurocomputing, 69(13-15):1608–1618.
5. Heywood, M. I. and Lichodzijewski, P. (2010). Symbiogenesis as a mechanism for building complex adaptive systems: A review. In EvoApplications: Part 1 (EvoComplex), volume 6024 of LNCS, pages 51–60.