1. E. Bernadó, X. Llorà, and J. M. Garrell, “XCS and GALE: A comparative study of two learning classifier systems and six other learning algorithms on classification tasks,” in Lanzi et al. [42], pp. 115–132.
2. E. Bernadó-Mansilla and J. M. Garrell-Guiu, “Accuracy-based learning classifier systems: Models, analysis, and applications to classification tasks,” Evolutionary Computation, vol. 11, pp. 209–238, 2003.
3. H.-G. Beyer, U.-M. O’Reily, D. V. Arnold, W. Banzhaf, C. Blum, E. W. Bonabeau, E. Cant-Paz, D. Dasgupta, K. Deb, J. A. Foster, E. D. de Jong, H. Lipson, X. Llora, S. Mancoridis, M. Pelikan, G. R. Raidl, T. Soule, A. M. Tyrrell, J.-P. Watson, and E. Zitzler (eds.). GECCO 2005: Genetic and Evolutionary Computation Conference: Volume 2. Association for Computing Machinery, Inc: New York, NY, 2005.
4. C. L. Bridges and D. E. Goldberg, “An analysis of reproduction and crossover in a binary-coded genetic algorithm,” in Grefenstette [26], pp. 9–13.
5. L. Bull, “Simple Markov models of the genetic algorithm in classifier systems: Accuracy-based fitness,” in Lanzi et al. [41], pp. 21–28.