1. Mora, A.M., Fernández-Ares, A., Merelo-Guervós, J.J., García-Sánchez, P., Fernandes, C.M.: Effect of noisy fitness in real-time strategy games player behaviour optimisation using evolutionary algorithms. J. Comput. Sci. Technol. 27, 1007–1023 (2012)
2. García-Ortega, R.H., García-Sánchez, P., Merelo, J.J.: Emerging archetypes in massive artificial societies for literary purposes using genetic algorithms. ArXiv e-prints (2014).
http://adsabs.harvard.edu/abs/2014arXiv1403.3084G
3. Castillo, P.A., González, J., Merelo-Guervós, J.J., Prieto, A., Rivas, V., Romero, G.: G-Prop-III: global optimization of multilayer perceptrons using an evolutionary algorithm. In: GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, p. 942 (1999)
4. Jin, Y., Branke, J.: Evolutionary optimization in uncertain environments—a survey. IEEE Trans. Evol. Comput. 9, 303–317 (2005). (cited By (since 1996) 576)
5. Merelo, J.J., Castillo, P.A., Mora, A., Fernández-Ares, A., Esparcia-Alcázar, A.I., Cotta, C., Rico, N.: Studying and tackling noisy fitness in evolutionary design of game characters. In: Rosa, A., Merelo, J. J., Filipe, J. (eds.) ECTA 2014—Proceedings of the International Conference on Evolutionary Computation Theory and Applications, pp. 76–85 (2014)