Genetic Programming Bibliography entries for Pedro Isasi Vinuela

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GP coauthors/coeditors: Ricardo Aler Mur, Daniel Borrajo, Alejandro Baldominos Gomez, Yago Saez, Cesar Estebanez, Julio Cesar Hernandez-Castro, D Arturo Ribagorda Garnacho, Gustavo Recio Isasi, Andre Seznec, Cristobal Luque del Arco-Calderon, Carlos Martin, David Quintana Montero, Javier Segovia,

Genetic Programming Articles by Pedro Isasi Vinuela

  1. Carlos Martin and David Quintana and Pedro Isasi. Dynamic Generation of Investment Recommendations Using Grammatical Evolution. International Journal of Interactive Multimedia and Artificial Intelligence, 6(6):104-111, 2021. details

  2. Carlos Martin and David Quintana and Pedro Isasi. Grammatical Evolution-based ensembles for algorithmic trading. Applied Soft Computing, 84:105713, 2019. details

  3. Yago Saez and Cesar Estebanez and David Quintana and Pedro Isasi. Evolutionary hash functions for specific domains. Applied Soft Computing, 78:58-69, 2019. details

  4. Carlos Martin and David Quintana and Pedro Isasi. Evolution of trading strategies with flexible structures: A configuration comparison. Neurocomputing, 331:242-262, 2019. details

  5. Alejandro Baldominos and Yago Saez and Pedro Isasi. Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments. Sensors, 18(4) 2018. details

  6. Cesar Estebanez and Yago Saez and Gustavo Recio and Pedro Isasi. Automatic Design of Noncryptographic Hash Functions using Genetic Programming. Computational Intelligence, 30(4):798-831, 2014. details

  7. Ricardo Aler and Daniel Borrajo and Pedro Isasi. Using genetic programming to learn and improve control knowledge. Artificial Intelligence, 141(1-2):29-56, 2002. details

  8. Ricardo Aler and Daniel Borrajo and Pedro Isasi. Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evolutionary Computation, 9(4):387-420, 2001. details

Genetic Programming conference papers by Pedro Isasi Vinuela

  1. Cesar Estebanez and Julio Cesar Hernandez-Castro and Arturo Ribagorda and Pedro Isasi. Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming. In Thomas Philip Runarsson and Hans-Georg Beyer and Edmund Burke and Juan J. Merelo-Guervos and L. Darrell Whitley and Xin Yao editors, Parallel Problem Solving from Nature - PPSN IX, volume 4193, pages 818-827, Reykjavik, Iceland, 2006. Springer-Verlag. details

  2. Cesar Estebanez and Julio Cesar Hernandez-Castro and Arturo Ribagorda and Pedro Isasi. Evolving hash functions by means of genetic programming. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 2, pages 1861-1862, Seattle, Washington, USA, 2006. ACM Press. details

  3. Julio Cesar Hernandez and Andre Seznec and Pedro Isasi. On the design of state-of-the-art pseudorandom number generators by means of genetic programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 1510-1516, Portland, Oregon, 2004. IEEE Press. details

  4. Julio Cesar Hernandez Castro and Pedro Isasi Vinuela and Cristobal Luque del Arco-Calderon. Finding Efficient Nonlinear Functions by Means of Genetic Programming. In Knowledge-Based Intelligent Information and Engineering Systems, 2003. Springer. details

  5. Ricardo Aler and Daniel Borrajo and Pedro Isasi. Grammars for Learning Control Knowledge with GP. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 1220-1227, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

  6. Ricardo Aler and Daniel Borrajo and Pedro Isasi. Knowledge Representation Issues in Control Knowledge Learning. In Pat Langley editor, Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), pages 1-8, Stanford University, Standord, CA, USA, 2000. Morgan Kaufmann. details

  7. Ricardo Aler and Daniel Borrajo and Pedro Isasi. GP fitness functions to evolve heuristics for planning. In Martin Middendorf editor, Evolutionary Methods for AI Planning, pages 189-195, Las Vegas, Nevada, USA, 2000. details

  8. Ricardo Aler and Daniel Borrajo and Pedro Isasi. Genetic Programming and Deductive-Inductive Learning: A Multistrategy Approach. In Jude Shavlik editor, Proceedings of the Fifteenth International Conference on Machine Learning, ICML'98, pages 10-18, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  9. Ricardo Aler and Daniel Borrajo and Pedro Isasi. Evolved Heuristics for Planning. In V. William Porto and N. Saravanan and D. Waagen and A. E. Eiben editors, Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, volume 1447, pages 745-754, Mission Valley Marriott, San Diego, California, USA, 1998. Springer-Verlag. details

  10. Javier Segovia and Pedro Isasi. Genetic Programming For Designing Ad Hoc Neural Network Learning Rules. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, page 303, Stanford University, CA, USA, 1997. Morgan Kaufmann. details