Select Conference Papers

2021

• M. García-Valdez, R. Márquez, L. Trujillo and J. J. Merelo, "Random Selection of Parameters in Asynchronous Pool-Based Evolutionary Algorithms," 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 2531-2538

2020

• Omar M. Villanueva, Leonardo Trujillo, and Daniel E Hernández. 2020. Novelty search for automatic bug repair. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO ’20). Association for Computing Machinery, New York, NY, USA, 1021–1028.

• Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, and Pierrick Legrand. 2020. Unlabeled multi-target regression with genetic programming. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO ’20). Association for Computing Machinery, New York, NY, USA, 976–984.

• Leonardo Vanneschi, Mauro Casteli, Luca Manzoni, Sara SIlva, Leonardo Trujillo (2020) Is k Nearest Neighbours Regression Better Than GP?. In: T. Hu et al. (eds) EuroGP 2020. Lecture Notes in Computer Science, vol 12101. Springer, Cham

2018

• López U., Trujillo L., Legrand P. (2018) Filtering Outliers in One Step with Genetic Programming. In: Auger A., Fonseca C., Lourenço N., Machado P., Paquete L., Whitley D. (eds) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, vol 11101. Springer, Cham

• Víctor R. López-López, Leonardo Trujillo, and Pierrick Legrand. 2018. Novelty search for software improvement of a SLAM system. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18), Hernan Aguirre (Ed.). ACM, New York, NY, USA, 1598-1605.

• Dibene J.C., Picos K., Díaz-Ramírez V.H., Trujillo L. (2018) Estimation of the 3D Pose of an Object Using Correlation Filters and CMA-ES. In: Sim K., Kaufmann P. (eds) Applications of Evolutionary Computation. EvoApplications 2018. Lecture Notes in Computer Science, vol 10784. Springer, Cham

2017

• Galván-López E., Vázquez-Mendoza L., Schoenauer M., Trujillo L. (2018) On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. In: Lutton E., Legrand P., Parrend P., Monmarché N., Schoenauer M. (eds) Artificial Evolution. EA 2017. Lecture Notes in Computer Science, vol 10764. Springer, Cham

• Uriel Lopez, Leonardo Trujillo, Yuliana Martinez, Pierrick Legrand, Enrique Naredo and Sara Silva. RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. In Mauro Castelli et al. editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 114-130, Amsterdam, 2017, Springer Verlag.

• C. Goribar-Jimenez, Y. Maldonado, L. Trujillo, M. Castelli, I. Gonçalves and L. Vanneschi, Towards the development of a complete GP system on an FPGA using geometric semantic operators, 2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, 2017, pp. 1932-1939.

• Edgar Galván-López, Lucia Vázquez-Mendoza, Marc Schoenauer, and Leonardo Trujillo. 2017. Dynamic GP fitness cases in static and dynamic optimisation problems. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '17). ACM, New York, NY, USA, 227-228.

• Galván-López E., Vázquez-Mendoza L., Trujillo L. (2017) Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data. In: Pichardo-Lagunas O., Miranda-Jiménez S. (eds) Advances in Soft Computing. MICAI 2016. Lecture Notes in Computer Science, vol 10062. Springer, Cham

2016

• Angel Pozos, Edgar Castillo, Miguel Chávez and Leonardo Trujillo. Modeling Micro-Channel Plates as Astronomical Detectors of UV Radiation, in 2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico, City. Mexico. September 26-30, 2016.

• José Enrique Hernández-Beltrán; Víctor H. Díaz-Ramírez; Leonardo Trujillo and Pierrick Legrand. Restoration of degraded images using genetic programming, Proc. SPIE 9970, Optics and Photonics for Information Processing X, 99700K (September 14, 2016)

• Perla Juárez-Smith and Leonardo Trujillo. 2016. Integrating Local Search within neat-GP. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (GECCO '16 Companion), Tobias Friedrich (Ed.). ACM, New York, NY, USA, 993-996.

• Carlos A. Goribar Jiménez, Yazmín Maldonado, and Leonardo Trujillo. 2016. Random Tree Generator for an FPGA-based Genetic Programming System. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (GECCO '16 Companion), Tobias Friedrich (Ed.). ACM, New York, NY, USA, 1023-1026.

• Víctor R. López-López, Leonardo Trujillo, Pierrick Legrand, and Gustavo Olague. 2016. Genetic Programming: From Design to Improved Implementation. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (GECCO '16 Companion), Tobias Friedrich (Ed.). ACM, New York, NY, USA, 1147-1154.

2015

• Emigdio Z-Flores, Leonardo Trujillo, Oliver Schütze, and Pierrick Legrand. 2015. A Local Search Approach to Genetic Programming for Binary Classification. In Proceedings of the 2015 on Genetic and Evolutionary Computation Conference (GECCO '15), Sara Silva (Ed.). ACM, New York, NY, USA, 1151-1158.

• Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z-Flores, and Pierrick Legrand. 2015. Geometric Semantic Genetic Programming with Local Search. In Proceedings of the 2015 on Genetic and Evolutionary Computation Conference (GECCO '15), Sara Silva (Ed.). ACM, New York, NY, USA, 999-1006.

• Luis Munoz, Sara Silva and Leonardo Trujillo. M3GP: Multiclass Classification with GP. In Penousal Machado et al. editors, 18th European Conference on Genetic Programming, volume 9025, pages 78-91, Copenhagen, 2015. Springer.

• S. Morales Pacheco, O. Schutze, C. Vera, L. Trujillo and Y. Maldonado, "Solving the ambulance location problem in Tijuana-Mexico using a continuous location model," Evolutionary Computation (CEC), 2015 IEEE Congress on, Sendai, 2015, pp. 2631-2638.

2014

• Paulo Urbano, Enrique Naredo, Leonardo Trujillo. Generalization in Grammatical Evolution using Novelty Search: Experiments on a maze navigation task, in Proceedings of the 3rd International Conference on the Theory and Practice of Natural Computing (TPNC 2014), Volume 8890, series LNCS, Springer, pp 35-46.

• Victor R. López-López, Leonardo Trujillo, Pierrick Legrand, Victor H. Díaz-Ramírez. Evaluation of Local Feature Extraction Methods Generated through Genetic Programming on Visual SLAM, accepted to Proceedings of the 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2014), Ixtapa, México, November 5-7, 2014.

• Mario García-Valdez, Leonardo Trujillo, Juan Julián Merelo-Guérvos, Francisco Fernández-de-Vega. Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary Algorithm, in Proceedings of Parallel Problem Solving from Nature – PPSN XIII, LCNS Vol. 8672, 2014, pp 702-710.

• Leonardo Trujillo and Luis Munoz and Enrique Naredo and Yuliana Martinez. NEAT, There's No Bloat. In M. Nicolau et al. editors, 17th European Conference on Genetic Programming, volume 8599, pages 174-185, Granada, Spain, 2014. Springer.

• E. Galvan-Lopez, C. Harris, L. Trujillo, K. Rodriguez-Vazquez, S. Clarke and V. Cahill. Autonomous Demand-Side Management System Based on Monte Carlo Tree Search. IEEE International Energy Conference (EnergyCon), pages 1325 - 1332, Dubrovnik, Croatia, May 13 - 16, 2014. IEEE Press.

• Yuliana Martinez and Leonardo Trujillo and Enrique Naredo and Pierrick Legrand. A Comparison of Fitness-Case Sampling Methods for Symbolic Regression with Genetic Programming. In Alexandru-Adrian Tantar et al. editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, volume 288, pages 201-212, Peking, 2014. Springer.

• Emigdio Z-Flores and Leonardo Trujillo and Oliver Schuetze and Pierrick Legrand. Evaluating the Effects of Local Search in Genetic Programming. In Alexandru-Adrian Tantar et al. editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, volume 288, pages 213-228, Peking, 2014. Springer

• Andres Cuevas ; Victor H. Diaz-Ramirez ; Vitaly Kober and Leonardo Trujillo, Facial recognition using composite correlation filters designed with multiobjective combinatorial optimization ", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921710 (September 23, 2014); doi:10.1117/12.2062348

2013

• A. Serrano Trujillo, V. H. Díaz Ramírez, L. Trujillo Reyes, Design of composite correlation filters for object recognition using multi-objective combinatorial optimization, in Applications of Digital Image Processing XXXVI, Andrew G. Tescher, Editors, Proceedings of SPIE Vol. 8856 (SPIE, Bellingham, WA 2013), 885605.

• L. Trujillo, E. Naredo, Y. Martínez, Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search. in EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, Advances in Intelligent Systems and Computing Volume 227, 2013, pp 293-305.

• E. Naredo and L. Trujillo. 2013. Searching for novel clustering programs. In Proceedings of the fifteenth annual conference on Genetic and evolutionary computation conference (GECCO '13), Christian Blum (Ed.). ACM, New York, NY, USA, 1093-1100.

• L. Trujillo, L. Spector, E. Naredo, and Y. Martínez. 2013. A behavior-based analysis of modal problems. In Proceedings of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion (GECCO '13 Companion), Christian Blum (Ed.). ACM, New York, NY, USA, 1047-1054.

• M. García-Valdez, J.J. Merelo, L. Trujillo, F. Fernández-de-Vega, José C. Romero, and Alejandra Mancilla. 2013. EvoSpace-i: a framework for interactive evolutionary algorithms. In Proceedings of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion (GECCO '13 Companion), Christian Blum (Ed.). ACM, New York, NY, USA, 1301-1308.

• E. Naredo, L. Trujillo and Yuliana Martínez. 2013. Searching for novel classifiers. In Proceedings of the 16th European conference on Genetic Programming (EuroGP'13), Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Şima Etaner-Uyar, and Bin Hu (Eds.). Springer-Verlag, Berlin, Heidelberg, 145-156. pdf

• M. García-Valdez, L. Trujillo, F. Fernández de Vega, J.J. Merelo Guervós and G. Olague. 2013. EvoSpace-Interactive: a framework to develop distributed collaborative-interactive evolutionary algorithms for artistic design. In Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART'13), Penousal Machado, James McDermott, and Adrian Carballal (Eds.). Springer-Verlag, Berlin, Heidelberg, 121-132. (Nominated for Best Paper)

• M. García-Valdez, L. Trujillo, F. Fernández de Vega, J.J. Merelo Guervós and G. Olague. 2013. EvoSpace: a distributed evolutionary platform based on the tuple space model. In Proceedings of the 16th European conference on Applications of Evolutionary Computation (EvoApplications'13), Anna I. Esparcia-Alcázar (Ed.). Springer-Verlag, Berlin, Heidelberg, 499-508.

• Y. Martinez, E. Naredo, L. Trujillo and E. Galvan-Lopez. Searching for Novel Regression Functions. IEEE Congress on Evolutionary Computation 2013, Cancun, Mexico, 20 - 23 June, 2013. IEEE Press, pp 16-23.pdf

• E. Galvan-Lopez, B. Cody-Kenny, L. Trujillo and A. Kattan. Using Semantics in the Selection Mechanism in Genetic Programming: a Simple Method for Promoting Semantic Diversity. IEEE Congress on Evolutionary Computation 2013, Cancun, Mexico, 20 - 23 June, 2013. IEEE Press, pp 2972-2979. pdf

• L. Vezard, Marie Chavent, P. Legrand, F. Faita-Ainseba and L. Trujillo, Detecting mental states of alertness with genetic algorithm variable selection. IEEE Congress on Evolutionary Computation 2013, Cancun, Mexico, 20 - 23 June, 2013. IEEE Press, pp 1247-1254.

• L. Trujillo, M. Garcia-Valdez, F. Fernandez-de-Vega and J.J. Merelo, Fireworks: Evolutionary art project based on EvoSpace-Interactive. IEEE Congress on Evolutionary Computation 2013, Cancun, Mexico, 20 - 23 June, 2013. IEEE Press, pp 1255-1262.

• M. Garcia-Valdez, J.J. Merelo, L. Trujillo, A. Mancilla and F. Fernandez-de-Vega, Is there a free lunch for cloud-based evolutionary algorithms? IEEE Congress on Evolutionary Computation 2013, Cancun, Mexico, 20 - 23 June, 2013. IEEE Press, pp 2871-2879.

2012

• Leonardo Trujillo, Yuliana Martínez, Edgar Galván López, and Pierrick Legrand. 2012. A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming. In Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion (GECCO Companion '12), Terence Soule (Ed.). ACM, New York, NY, USA, 1489-1490.

2011

• Leonardo Trujillo and Sara Silva and Pierrick Legrand and Leonardo Vanneschi. An empirical study of functional complexity as an indicator of overfitting in Genetic Programming. In Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 263-274, Turin, Italy, 2011. Springer Verlag.

• Leonardo Trujillo and Yuliana Martínez and Patricia Melin. Estimating classifier performance with Genetic Programming. In Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 275-286, Turin, Italy, 2011. Springer Verlag.

• Leonardo Trujillo and Yuliana Martinez and Patricia Melin. How many neurons?: a genetic programming answer. In GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 175-176, Dublin, Ireland, 2011. ACM.

• Leonardo Trujillo and Yuliana Martínez and Edgar Galvan-Lopez and Pierrick Legrand. Predicting problem difficulty for genetic programming applied to data classification. In GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1355-1362, Dublin, Ireland, 2011. ACM.

2010

• Leonardo Trujillo, Pierrick Legrand and Jacques Lévy-Véhel. The Estimation of Hölderian Regularity using Genetic Programming. In Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (Portland, Oregon, USA, July 7 - 11, 2010). GECCO 2010. ACM, New York, NY. (Best Paper Award in the track of Genetic Programming)

• Leonardo Trujillo, Pierrick Legrand, Gustavo Olague and Cynthia Pérez. Optimization of the Hölder Image Descriptor using a Genetic Algorithm. In Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (Portland, Oregon, USA, July 7 - 11, 2010). GECCO 2010. ACM, New York, NY. (Best Paper Award in the track of Real World Applications)

• Jose Parra, Leonardo Trujillo and Patricia Melin. Backpropagation learning with a (1+1) ES. In Late Braking Papers of the 12th Annual Conference on Genetic and Evolutionary Computation (Portland, Oregon, USA, July 7 - 11, 2010). GECCO 2010. ACM, New York, NY.

2009

• D. Lombraña, F. Fernández de Vega, L. Trujillo, G. Olague, L. Araujo, P. Castillo, K. Sharman, J.J. Merelo. Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization, In 17th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 2009.

2008

• D. Lombraña, F. Fernández de Vega, L. Trujillo, G. Olague, M. Cárdenas, L. Araujo, P. Castillo, K. Sharman, A. Silva. Interpreted Applications within BOINC Infrastructure. In Ibergrid 2008 Porto, Portugal, Mayo, 2008.

• Leonardo Trujillo, Gustavo Olague, Francisco Fernández de Vega, Evelyne Lutton. Multiobjective design of operators that detect points of interest in images. In Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation (Atalanta, Georgia, USA, July 12 - 16, 2008). GECCO '08. ACM, New York, NY.

• Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega. Behavior-based speciation for evolutionary robotics. In Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation (Atalanta, Georgia, USA, July 12 - 16, 2008). GECCO '08. ACM, New York, NY.

• Leonardo Trujillo, Gustavo Olague, Francisco Fernández de Vega, Evelyne Lutton,. 2008. Selecting local region descriptors with a genetic algorithm for real-world place recognition. En 10th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP'08) Del 26 al 28 de marzo, Napoles, Italia.

• Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega. 2008. Discovering several robot behaviors through speciation. En 4th European Workshop on Bio-Inspired Heuristics for Design Automation (EvoHOT'08) del 26 al 28 de marzo, Napoles, Italia. (Best Paper Award at EvoHOT 2008)

2007

• Daniel Lombraña, Francisco Fernández De Vega, Leonardo Trujillo, Gustavo Olague, Ben Segal . 2007. Customizable execution environments with virtual desktop grid computing. En The 19th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2007) Del 19 al 21 de noviembre. Cambridge, Massachusetts. International Association of Science and Technology for Development.

• Leonardo Trujillo, Gustavo Olague. 2007. Scale invariance for evolved interested operators. En 9th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP'07) Del 11 al 13 de abril. Valencia, Comunidad Valenciana. Vol. 4448, pp 423-430.

• Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega. 2007. Evolutionary feature selection for probabilistic object recognition, novel object detection and object saliency estimation using GMMs . En 18th British Machine Vision Conference Del 10 al 13 de septiembre. Warwick. Vol. 2, pp 630-639. British Machine Vision Association.

• Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir Bhanu . 2007. Multiclass object recognition based on texture linear genetic programming. En 9th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP'07) Del 11 al 13 de abril. Valencia, Comunidad Valenciana. Vol. 4448, pp 291-300. Springer Lecture Notes in Computer Science. (Nominated for the Best Paper Award at EvoIASP 2007)

2006

• Trujillo, L. and Olague, G. 2006. Using Evolution to Learn How to Perform Interest Point Detection. In Proceedings of the 18th international Conference on Pattern Recognition - Volume 01 (August 20 - 24, 2006). ICPR. IEEE Computer Society, Washington, DC, 211-214.

• Trujillo, L. and Olague, G. 2006. Synthesis of interest point detectors through genetic programming. In Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation (Seattle, Washington, USA, July 08 - 12, 2006). GECCO '06. ACM, New York, NY, 887-894. (Awarded the bronze medal at the 2006 Human-Competetive Awards)

2005

• Trujillo, L., Olague, G., Hammoud, R., and Hernandez, B. 2005. Automatic Feature Localization in Thermal Images for Facial Expression Recognition. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cvpr'05) - Workshops - Volume 03 (June 20 - 26, 2005). CVPR. IEEE Computer Society, Washington, DC, 14.