Genetic Programming Bibliography entries for Ma Dolores Rodriguez Moreno

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GP coauthors/coeditors: David F Barrero, David Camacho, Bonifacio Castano,

Genetic Programming Articles by Ma Dolores Rodriguez Moreno

Genetic Programming conference papers by Ma Dolores Rodriguez Moreno

  1. David F. Barrero and Maria D. R-Moreno and Bonifacio Castano and David Camacho. Effects of the Lack of Selective Pressure on the Expected Run-Time Distribution in Genetic Programming. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1748-1755, Cancun, Mexico, 2013. details

  2. David F. Barrero and Bonifacio Casta\~no and Maria D. R-Moreno and David Camacho. Statistical Distribution of Generation-to-Success in GP: Application to Model Accumulated Success Probability. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 154-165, Turin, Italy, 2011. Springer Verlag. details

  3. David F. Barrero and Maria R-Moreno and Bonifacio Castano and David Camacho. An Empirical Study on the Accuracy of Computational Effort in Genetic Programming. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 1169-1176, New Orleans, USA, 2011. IEEE Press. details

  4. David F. Barrero and David Camacho and Maria D. R-Moreno. Confidence intervals of success rates in evolutionary computation. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 975-976, Portland, Oregon, USA, 2010. ACM. details