Towards General Purpose Neuro-Genetic Programming Socket Based Formal Modeller

Author:

Russo Marco

Publisher

Springer Berlin Heidelberg

Reference6 articles.

1. Koza, J.R.: Genetic Programming: On the Programming of Computers by Natural Selection. MIT Press, Cambridge (1992)

2. Russo, M.: Distributed Fuzzy Learning Using the MULTISOFT Machine. IEEE Transactions on Neural Networks 12(3), 475–484 (2001)

3. Topchy, A., Punch, W.F.: Faster genetic programming based on local gradient search of numeric leaf values. In: Spector, L., Goodman, E.D., Wu, A., Langdon, W.B., Voigt, H.M., Gen, M., Sen, S., Dorigo, M., Pezeshk, S., Garzon, M.H., Burke, E. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2001), July 7-11, pp. 155–162. Morgan Kaufmann, San Francisco (2001)

4. Russo, M.: Genetic Fuzzy Learning. IEEE Transactions on Evolutionary Computation 4(3), 259–273 (2000)

5. Alfaro-Cid, E., Guervós, J.J.M., de Vega, F.F., Esparcia-Alcázar, A.I., Sharman, K.: Bloat control operators and diversity in genetic programming: A comparative study. Evolutionary Computation 18(2), 305–332 (2010)

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