Genetic Programming Bibliography entries for Jose Ignacio Hidalgo Perez

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GP coauthors/coeditors: Jorge Cano, Oscar Garnica, J Lanchares, Carlos Cervigon Ruckauer, J Manuel Colmenar, Jose L Risco-Martin, David Atienza Alonso, Alfredo Cuesta-Infante, Ivan Contreras, Almudena Sanchez, Jose Manuel Velasco Cabo, Stephan M Winkler, Gabriel Kronberger, Esther Maqueda, Marta Botella-Serrano, Sancho Salcedo-Sanz, Raul Martin-Santamaria, Sergio Contador, Laura Nunez-Letamendia, Marina Miguel De la Cruz Lopez, Jorge Alvarado, Francisco Fernandez de Vega, Juan Manuel Sanchez Perez, Jose Antonio Rubio, Carlos Garcia Sanchez, Guillermo Botella, Remedios Martinez, Aranzazu Aramendi, Daniel Parra Rodriguez, Aitor Ibarra, J Mendias, Roman Hermida Correa, David Joedicke, Nuno Lourenco, Laura Millan Garcia, Ricardo Fernandez Serrano, Gaspar Gonzalez Doncel, Ricardo Fernandez, Gizo Bokuchava, Patrice Halodova, Alberto Saez-Maderuelo, L Millan-Garcia, J M Velasco, R Fernandez, Alberto Gutierrez, Alberto Gutierrez-Gallego, Rafael-Jacinto Villanueva, Ruben Gonzalo, Josefa Diaz Alvarez,

Genetic Programming Articles by Jose Ignacio Hidalgo Perez

  1. L. Millan-Garcia and G. Bokuchava and P. Halodova and A. Saez-Maderuelo and G. Gonzalez-Doncel and J. I. Hidalgo and J. M. Velasco and R. Fernandez. Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses. Journal of Materials Research and Technology, 23:1543-1558, 2023. details

  2. Laura Millan and Gabriel Kronberger and Ricardo Fernandez and Gizo Bokuchava and Patrice Halodova and Alberto Saez-Maderuelo and Gaspar Gonzalez-Doncel and J. Ignacio Hidalgo. Prediction of microscopic residual stresses using genetic programming. Applications in Engineering Science, 15:100141, 2023. details

  3. Sergio Contador and J. Manuel Colmenar and Oscar Garnica and J. Manuel Velasco and J. Ignacio Hidalgo. Blood glucose prediction using multi-objective grammatical evolution: analysis of the ``agnostic'' and ``what-if'' scenarios. Genetic Programming and Evolvable Machines, 23(2):161-192, 2022. details

  4. Sergio Contador and J. Manuel Velasco and Oscar Garnica and J. Ignacio Hidalgo. Glucose forecasting using genetic programming and latent glucose variability features. Applied Soft Computing, 110:107609, 2021. details

  5. Gabriel Kronberger and J. Manuel Colmenar and Stephan M. Winkler and Jose Ignacio Hidalgo. Multilayer analysis of population diversity in grammatical evolution for symbolic regression. Soft Comput, 24(15):11283-11295, 2020. details

  6. Jose Ignacio Hidalgo and Marta Botella and J. Manuel Velasco and Oscar Garnica and Carlos Cervigon and Remedios Martinez and Aranzazu Aramendi and Esther Maqueda and Juan Lanchares. Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging. Appl. Soft Comput, 88:105923, 2020. details

  7. Jose Manuel Velasco and Oscar Garnica and Juan Lanchares and Marta Botella and J. Ignacio Hidalgo. Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting. Memetic Computing, 10(3):267-277, 2018. details

  8. J. M. Colmenar and J. I. Hidalgo and S. Salcedo-Sanz. Automatic generation of models for energy demand estimation using Grammatical Evolution. Energy, 164:183-193, 2018. details

  9. Ivan Contreras and Jose Ignacio Hidalgo and Laura Nunez-Letamendia. A hybrid automated trading system based on multi-objective grammatical evolution. Journal of Intelligent and Fuzzy Systems, 32(3):2461-2475, 2017. details

  10. J. Ignacio Hidalgo and J. Manuel Colmenar and Gabriel Kronberger and Stephan M. Winkler and Oscar Garnica and Juan Lanchares. Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods. Journal of Medical Systems, 41(9):142, 2017. Special issue on Patient Facing Systems. details

  11. Jose L. Risco-Martin and J. Manuel Colmenar and J. Ignacio Hidalgo and Juan Lanchares and Josefa Diaz. A methodology to automatically optimize dynamic memory managers applying grammatical evolution. Journal of Systems and Software, 91:109-123, 2014. details

  12. J. Ignacio Hidalgo and J. Manuel Colmenar and Jose L. Risco-Martin and Alfredo Cuesta-Infante and Esther Maqueda and Marta Botella and Jose Antonio Rubio. Modeling glycemia in humans by means of Grammatical Evolution. Applied Soft Computing, 20:40-53, 2014. details

  13. Francisco Fernandez de Vega and J. I. Hidalgo and J. Lanchares and J. M. Sanchez. A methodology for reconfigurable hardware design based upon evolutionary computation. Microprocessors and Microsystems, 28(7):363-371, 2004. details

Genetic Programming conference papers by Jose Ignacio Hidalgo Perez

  1. Daniel Parra and Alberto Gutierrez-Gallego and Jose Manuel Velasco and Rafael-Jacinto Villanueva and J. Ignacio Hidalgo. Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution. In Justyna Petke and Aniko Ekart editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 73-74, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  2. Marina de la Cruz Lopez and Oscar Garnica and J. Ignacio Hidalgo. Tree-Based Grammatical Evolution with Non-Encoding Nodes. In Justyna Petke and Aniko Ekart editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 63-64, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Carlos Cervigon and J. Ignacio Hidalgo. Estimation of Interstitial Glucose from Physical Activity Measures Using Grammatical Evolution. In Justyna Petke and Aniko Ekart editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 57-58, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. Jorge Cano and J. Ignacio Hidalgo and Oscar Garnica and Juan Lanchares. Hardware Design of a Model Generator Based on Grammars and Cartesian Genetic Programming for Blood Glucose Prediction. In Justyna Petke and Aniko Ekart editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 55-56, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  5. J. Ignacio Hidalgo and Jose Manuel Velasco and Daniel Parra and Oscar Garnica. Genetic Programming Techniques for Glucose Prediction in People with Diabetes. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 105-124, Michigan State University, USA, 2023. Springer. details

  6. Daniel Parra and Alberto Gutierrez and Jose-Manuel Velasco and Oscar Garnica and J. Ignacio Hidalgo. Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models. In Juan Luis Jimenez Laredo and J. Ignacio Hidalgo and Kehinde Oluwatoyin Babaagba editors, 25th International Conference, EvoApplications 2022, volume 13224, pages 61-76, Madrid, 2022. Springer. details

  7. Marina De La Cruz Lopez and Carlos Cervigon and Jorge Alvarado and Marta Botella-Serrano and J. Ignacio Hidalgo. Evolving Classification Rules for Predicting Hypoglycemia Events. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  8. Daniel Parra and David Joedicke and Alberto Gutierrez and J. Manuel Velasco and Oscar Garnica and J. Manuel Colmenar and Jose Ignacio Hidalgo. Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 18th International Conference on Computer Aided Systems Theory, EUROCAST 2022, volume 13789, pages 189-196, Las Palmas de Gran Canaria, Spain, 2022. Springer. Revised Selected Papers. details

  9. J. Manuel Colmenar and Raul Martin-Santamaria and J. Ignacio Hidalgo. WebGE: An Open-Source Tool for Symbolic Regression Using Grammatical Evolution. In Juan Luis Jimenez Laredo and J. Ignacio Hidalgo and Kehinde Oluwatoyin Babaagba editors, 25th International Conference, EvoApplications 2022, volume 13224, pages 269-282, Madrid, 2022. Springer. details

  10. Laura Millan Garcia and Gabriel Kronberger and Jose Ignacio Hidalgo Perez and Ricardo Fernandez Serrano and Oscar Garnica and Gaspar Gonzalez Doncel. Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming. In Pedro Castillo and Juanlu Jimenez-Laredo editors, 24th International Conference, EvoApplications 2021, volume 12694, pages 421-436, virtual event, 2021. Springer Verlag. details

  11. Nuno Lourenco and J. Manuel Colmenar and J. Ignacio Hidalgo and Sancho Salcedo-Sanz. Evolving Energy Demand Estimation Models over Macroeconomic Indicators. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 1143-1149, internet, 2020. Association for Computing Machinery. details

  12. David Joedicke and Gabriel Kronberger and Jose Manuel Colmenar and Stephan M. Winkler and Jose Manuel Velasco and Sergio Contador and Jose Ignacio Hidalgo. Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. In Kerstin Bach and Razvan C. Bunescu and Cindy Marling and Nirmalie Wiratunga editors, Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, KDH@ECAI 2020, volume 2675, pages 141-145, Santiago de Compostela, Spain and Virtually, 2020. CEUR-WS.org. details

  13. Sergio Contador and J. Manuel Colmenar and Oscar Garnica and J. Ignacio Hidalgo. Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution. In Pedro A. Castillo and Juan Luis Jimenez Laredo and Francisco Fernandez de Vega editors, 23rd International Conference, EvoApplications 2020, volume 12104, pages 494-509, Seville, Spain, 2020. Springer Verlag. details

  14. Sergio Contador and J. Manuel Velasco and Oscar Garnica and J. Ignacio Hidalgo. Profiled Glucose Forecasting using Genetic Programming and Clustering. In Federico Divina and Miguel Garcia Torres editors, The 35th ACM/SIGAPP Symposium On Applied Computing, pages 529-536, Brno, Czech Republic, 2020. ACM. details

  15. Nuno Lourenco and J. Manuel Colmenar and J. Ignacio Hidalgo and Oscar Garnica. Structured Grammatical Evolution for Glucose Prediction in Diabetic Patients. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1250-1257, Prague, Czech Republic, 2019. ACM. details

  16. Sergio Contador and J. Ignacio Hidalgo and Oscar Garnica and J. Manuel Velasco and Juan Lanchares. Can clustering improve glucose forecasting with genetic programming models?. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1829-1836, Prague, Czech Republic, 2019. ACM. details

  17. Jose Manuel Velasco and Oscar Garnica and Sergio Contador and Juan Lanchares and Esther Maqueda and Marta Botella and J. Ignacio Hidalgo. Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 2193-2200, Donostia, San Sebastian, Spain, 2017. IEEE. details

  18. Jose Manuel Velasco and Oscar Garnica and Sergio Contador and Jose Manuel Colmenar and Esther Maqueda and Marta Botella and Juan Lanchares and Jose Ignacio Hidalgo. Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting. In Giovanni Squillero editor, 20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 142-157, Amsterdam, 2017. Springer. details

  19. Jose Ignacio Hidalgo and Carlos Cervigon and Jose Manuel Velasco and J. Manuel Colmenar and Carlos Garcia Sanchez and Guillermo Botella. Embedded Grammars for Grammatical Evolution on GPGPU. In Giovanni Squillero editor, 20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 789-805, Amsterdam, 2017. Springer. details

  20. Jose Ignacio Hidalgo and J. Manuel Colmenar and Gabriel Kronberger and Stephan M. Winkler. Glucose Prognosis by Grammatical Evolution. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, Part I, volume 10671, pages 455-463, Las Palmas de Gran Canaria, Spain, 2017. Springer. Revised Selected Papers. details

  21. J. Manuel Colmenar and Jose Ignacio Hidalgo and Juan Lanchares and Oscar Garnica and Jose L. Risco-Martin and Ivan Contreras and Almudena Sanchez and J. Manuel Velasco. Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, volume 9598, pages 118-133, Porto, Portugal, 2016. Springer. details

  22. J. Manuel Colmenar and Stephan M. Winkler and Gabriel Kronberger and Esther Maqueda and Marta Botella and J. Ignacio Hidalgo. Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1393-1400, Denver, Colorado, USA, 2016. ACM. details

  23. J. Manuel Velasco and Stephan Winkler and J. Ignacio Hidalgo and Oscar Garnica and Juan Lanchares and J. Manuel Colmenar and Esther Maqueda and Marta Botella and Jose-Antonio Rubio. Data-Based Identification of Prediction Models for Glucose. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2015 Medical Applications of Genetic and Evolutionary Computation (MedGEC'15) Workshop, pages 1327-1334, Madrid, Spain, 2015. ACM. details

  24. J. Ignacio Hidalgo and J. Manuel Colmenar and Jose L. Risco-Martin and Esther Maqueda and Marta Botella and Jose Antonio Rubio and Alfredo Cuesta-Infante and Oscar Garnica and Juan Lanchares. Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2014 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC), pages 1305-1312, Vancouver, BC, Canada, 2014. ACM. details

  25. Ivan Contreras and J. Ignacio Hidalgo and Laura Nunez-Letamendia. Combining Technical Analysis and Grammatical Evolution in a Trading System. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 244-253, Vienna, 2013. Springer Verlag. details

  26. J. Manuel Colmenar and Alfredo Cuesta-Infante and Jose L. Risco-Martin and J. Ignacio Hidalgo. An evolutionary methodology for automatic design of finite state machines. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 139-140, Amsterdam, The Netherlands, 2013. ACM. details

  27. J. Manuel Colmenar and Jose L. Risco-Martin and David Atienza and J. Ignacio Hidalgo. Multi-objective optimization of dynamic memory managers using grammatical evolution. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1819-1826, Dublin, Ireland, 2011. ACM. details

  28. J. Manuel Colmenar and Jose L. Risco-Martin and David Atienza and Oscar Garnica and J. Ignacio Hidalgo and Juan Lanchares. Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution. 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 1227-1234, Portland, Oregon, USA, 2010. ACM. details

  29. Jose L. Risco-Martin and David Atienza and Ruben Gonzalo and J. Ignacio Hidalgo. Optimization of dynamic memory managers for embedded systems using grammatical evolution. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1609-1616, Montreal, 2009. ACM. details

  30. Aitor Ibarra and J. Lanchares and J. Mendias and J. I. Hidalgo and R. Hermida. Transformation of Equational Specification by Means of Genetic Programming. In James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278, pages 248-257, Kinsale, Ireland, 2002. Springer-Verlag. details

Genetic Programming book chapters by Jose Ignacio Hidalgo Perez