Genetic Programming Bibliography entries for J Manuel Colmenar

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GP coauthors/coeditors: Jose L Risco-Martin, David Atienza Alonso, Oscar Garnica, Jose Ignacio Hidalgo Perez, J Lanchares, 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, Josefa Diaz Alvarez, Jose Antonio Rubio, Carlos Cervigon Ruckauer, Carlos Garcia Sanchez, Guillermo Botella, Leon Ingelse, Jose-Ignacio Hidalgo, Nuno Lourenco, Alcides Fonseca, David Joedicke,

Genetic Programming Articles by J Manuel Colmenar

  1. 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

  2. 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

  3. Josefa Diaz Alvarez and Jose L. Risco-Martin and J. Manuel Colmenar. Evolutionary design of the memory subsystem. Applied Soft Computing, 62:1088-1101, 2018. details

  4. 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

  5. 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

  6. Josefa Diaz Alvarez and J. Manuel Colmenar and Jose L. Risco-Martin and Juan Lanchares and Oscar Garnica. Optimizing L1 cache for embedded systems through grammatical evolution. Soft Computing, 20(6):2451-2465, 2016. details

  7. 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

  8. 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

  9. Jose L. Risco-Martin and David Atienza and J. Manuel Colmenar and Oscar Garnica. A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems. Parallel Computing, 36(10-11):572-590, 2010. Parallel Architectures and Bioinspired Algorithms. details

Genetic Programming conference papers by J Manuel Colmenar

  1. Leon Ingelse and Jose-Ignacio Hidalgo and Jose Manuel Colmenar and Nuno Lourenco and Alcides Fonseca. Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. In Conor Ryan and Mahsa Mahdinejad and Aidan Murphy editors, Grammatical Evolution Workshop - 25 years of GE, pages 2013-2021, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

Genetic Programming book chapters by J Manuel Colmenar