Book Chapters
2023
Tapia, J. J., Martínez-Vargas, A., Cosío-León, M. A., & Trujillo, L. (2023). A Variant of Parallel-Hybrid Genetic Algorithm for Large-Scale Traveling Salesman Problem. In Handbook of Formal Optimization (pp. 1–20). Springer Nature Singapore.
2019
Leonardo Trujillo, Luis Muñoz, Uriel López and Daniel E. Hernández. Untapped Potential of Genetic Programming:Transfer Learning and Outlier Removal. In Banzhaf W., Spector L., Sheneman L. (eds) Genetic Programming Theory and Practice XVI. Genetic and Evolutionary Computation. Springer, Cham, pp 193-207.
2018
Leonardo Trujillo, Perla Juárez Smith, Cesar Bernal, Antonin Ponsich y Juan J. Tapia. Programación Genética con Búsqueda Local, en Memorias de la Escuela de Cómputo Evolutivo, CIMAT, Guanajuato, Gto, eds. Segura et al., pp. 4:1-4:14 (2018).
Ernesto Norberto Álvarez González, Juan J. Tapia y Leonardo Trujillo. Parametrización de neat-GP con F-Race Iterada, en Memorias de la Escuela de Cómputo Evolutivo, CIMAT, Guanajuato, Gto, eds. Segura et al., pp. 16:1-16:9 (2018).
J. Enríquez-Zárate, L. Trujillo, C. Hernández and Claudia N. Sánchez, Optimal Design of Sliding Mode Control Combined with Positive Position Feedback, in Numerical and Evolutionary Optimization – NEO 2017, Springer series on Studies in Computational Intelligence, Vol. 785, pp. 187-199 (2019).
Hernández D.E., Trujillo L., Z-Flores E., Villanueva O.M., Romo-Fewell O. (2018) Detecting Epilepsy in EEG Signals Using Time, Frequency and Time-Frequency Domain Features. In: Sanchez M., Aguilar L., Castañón-Puga M., Rodríguez-Díaz A. (eds) Computer Science and Engineering—Theory and Applications. Studies in Systems, Decision and Control, vol 143. Springer, Cham
2017
Víctor R. López-López, Lizbeth Escobedo, Leonardo Trujillo, Victor H. Díaz-Ramírez, Augmenting the LSA Technique to Evaluate Ubicomp Environments, in Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico. Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile (Eds.), series Studies in Computational Intelligence, Springer, pp. 45-64(2017).
E. Allende-Chávez, S.A. Juárez-Cázares, J.R. Cárdenas-Valdez, Y. Sandoval-Ibarra, J.A. Galaviz-Aguilar, Leonardo Trujillo and J.C. Nuñez-Pérez, Coefficients Estimation of MPM Through LSE, ORLS and SLS for RF-PA Modeling and DPD, n Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico. Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile (Eds.), series Studies in Computational Intelligence, Springer, pp. 239-262
Leonardo Trujillo, Emigdio Z-Flores, Perla S. Juárez Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze and Luis Muñoz. Local Search is underused in Genetic Programming. In Rick Riolo et al. editors, Genetic Programming Theory and Practice XIV, Ann Arbor, USA, pp. 119-137, 2016. Springer, Cham.
J.R. Cárdenas Valdez, Emigdio Z. Flores, José Cruz Nuñez Pérez and Leonardo Trujillo, Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA, in NEO 2015, Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Schütze, O., Trujillo, L., Legrand, P., Maldonado, Y. (Eds.), series Studies in Computational Intelligence, Springer, pp. 67-88 (2017).
Carlos Goribarn Yazmin Maldonado and Leonardo Trujillo, Automatic Random Tree Generator on FPGA, in NEO 2015, Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Schütze, O., Trujillo, L., Legrand, P., Maldonado, Y. (Eds.), series Studies in Computational Intelligence, Springer, pp. 89-106 (2017).
Daniel Lanza, F. Chávez, Francisco Fernández, M. Garcia-Valdez, Leonardo Trujillo and Gustavo Olague, Profiting from Several Recommendation Algorithms Using a Scalable Approach, in NEO 2015, Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Schütze, O., Trujillo, L., Legrand, P., Maldonado, Y. (Eds.), series Studies in Computational Intelligence, Springer, pp. 357-376 (2017).
Juan Carlos Dibene, Yazmin Maldonado, Carlos Vera, Leonardo Trujillo, Mauricio de Oliveira and Oliver Schütze, The Ambulance Location Problem in Tijuana, Mexico, in NEO 2015, Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Schütze, O., Trujillo, L., Legrand, P., Maldonado, Y. (Eds.), series Studies in Computational Intelligence, Springer, pp. 409 - 441 (2017).
2016
E. Galvan-Lopez, M. Schoenauer, C. Patsakis and L. Trujillo. Demand-side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. Studies in Computational Intelligence. Springer. 2016.
Sara Silva and Luis Munoz and Leonardo Trujillo and Vijay Ingalalli and Mauro Castelli and Leonardo Vanneschi. Multiclass Classification Through Multidimensinoal Clustering. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, Ann Arbor, USA, 2016. Springer.
2014
Legrand, P., Vezard, L., Chavent, M., Faita-Ainseba, F., Trujillo, L. (2014), Feature extraction and classification of EEG signals. The use of a genetic algorithm for an application on alertness prediction. In: Guide to Brain-Computer Music Interfacing, E. Miranda; J. Castet, B. Knapp (editors), pp. 191-220, Springer.
L. Vezard, P. Legrand, M. Chavent, F. Faita-Aïnseba, J. Clauzel and L. Trujillo, Classification of EEG signals by an evolutionary algorithm. in Advances in Knowledge Discovery and management, Vol. 527 (AKDM-4), Eds. F. Guillet, P. Pinaud, G. Venturini and D. Zighed, Studies in Computational Intelligence series, 2014, pp 133-153.
2013
L. Trujillo, E. Naredo, Y. Martínez, Preliminary study of bloat in genetic programming with behavior-based search, in: Advances in Intelligent Systems and Computing, 227, Springer International Publishing, 2013, pp. 293-305.
2012
Victor Diaz-Ramirez, Leonardo Trujillo and Sergio Pinto-Fernandez, Advances in Adaptive Composite Filters for Object Recognition. in Advances in Object Recognition Systems, Eds: Ioannis Kypraios, InTech Publishing, 2012, pp 91-110. pdf
Edgar Galvan, Leonardo Trujillo, James McDermott, and Ahmed Kattan, Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty. in EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation II, Eds. O. Schütze et al., series Advances in Intelligent Systems and Computing, Springer, 2012, pp 41-56.
Arturo Sotelo, Enrique Guijarro, Leonardo Trujillo., Luis Coria, and Yuliana Martínez, Analysis and Classification of Epilepsy Stages with Genetic Programming. in EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation II, Eds. O. Schütze et al., series Advances in Intelligent Systems and Computing, Springer, 2012, pp 57-70.
Enrique Naredo, Enrique Dunn, and Leonardo Trujillo, Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming. in EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation II, Eds. O. Schütze et al., series Advances in Intelligent Systems and Computing, Springer, 2012, pp 71-86.
2010
José Parra Galaviz, Patricia Melin, Leonardo Trujillo, 2010, Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies. In: Soft Computing for Recognition Based on Biometrics. Eds: Patricia Melin, Janusz Kacprzyk and Witold Pedrycz, Springer Berlin / Heidelberg, Studies in Computational Intelligence Series, Chapter 10, Vol. 312/2010, pp. 287-302.
2009
Mónica Beltrán, Patricia Melin and Leonardo Trujillo, 2009, Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration. In: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Eds: O. Castillo, W. Pedrycz, J. Kacprzyk, Springer Berlin / Heidelberg, Studies in Computational Intelligence Series, Chapter 10, Vol. 257/2009, pp. 185-201
Leonardo Trujillo and Gustavo Olague, 2009, Detecting Scale-Invariant Regions Using Evolved Image Operators. In: Evolutionary Image Analysis and Signal Processing. Ed: Stefano Cagnoni, Springer Berlin / Heidelberg, Studies in Computational Intelligence Series, Chapter 2, Vol. 213/2009, pp. 21-40.
Mónica Beltrán, Patricia Melin and Leonardo Trujillo, 2009, Modular Neural Networks with Fuzzy Response Integration for Signature Recognition. In: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognitio. Eds: P. Melin, J. Kacprzyk, W. Pedrycz, Springer Berlin / Heidelberg, Studies in Computational Intelligence Series, Chapter 5, Vol. 256/2009, pp. 81-91.
Leonardo Trujillo and Gustavo Olague, 2009, A Genetic Programming Approach to the Design of Interest Point Operators. In: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognitio. Eds: P. Melin, J. Kacprzyk, W. Pedrycz, Springer Berlin / Heidelberg, Studies in Computational Intelligence Series, Chapter 3, Vol. 256/2009, pp. 49-65.
Olague Caballero Gustavo, Riad Hammoud, Leonardo Trujillo Reyes, Benjamín Hernández Valencia and Eva Romero Vásquez, 2009, Facial Expression Recognition in Nonvisual Imagery. In: Augmented Vision Perception in Infrared. Eds: Riad Hammoud, Series in Algorithms and Applied Systems. Springer-London, Adv. Pattern Recognition Series, Chapter 10, pages 213-239.