ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem. - Enrique Naredo; Oscar Castillo 001 (MICAI (2), 2011)

Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming. - Enrique Naredo; Enrique Dunn; Leonardo Trujillo (EVOLVE, 2012)

Searching for novel regression functions. - Yuliana Martínez; Enrique Naredo; Leonardo Trujillo; Edgar Galván López (IEEE Congress on Evolutionary Computation, 2013)

Searching for Novel Classifiers. - Enrique Naredo; Leonardo Trujillo; Yuliana Martínez (EuroGP, 2013)

Searching for novel clustering programs. - Enrique Naredo; Leonardo Trujillo (GECCO, 2013)

A behavior-based analysis of modal problems. - Leonardo Trujillo; Lee Spector; Enrique Naredo; Yuliana Martínez (GECCO (Companion), 2013)

NEAT, There's No Bloat. - Leonardo Trujillo; Luis Muñoz; Enrique Naredo; Yuliana Martínez (EuroGP, 2014)

Generalization in Maze Navigation Using Grammatical Evolution and Novelty Search. - Paulo Urbano; Enrique Naredo; Leonardo Trujillo (TPNC, 2014)

Novelty Search for the Synthesis of Current Followers. - Enrique Naredo; Miguel Aurelio Duarte-Villaseñor; Manuel de Jesús García Ortega; Carlos E. Vázquez López; Leonardo Trujillo; Oscar S. Siordia (Computación y Sistemas, 2016)

Evolving genetic programming classifiers with novelty search. - Enrique Naredo; Leonardo Trujillo; Pierrick Legrand; Sara Silva; Luis Muñoz (Inf. Sci., 2016)

Genetic Programming Based on Novelty Search. - Enrique Naredo (2016)

RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. - Uriel López; Leonardo Trujillo; Yuliana Martínez; Pierrick Legrand; Enrique Naredo; Sara Silva (EuroGP, 2017)

A comparison of fitness-case sampling methods for genetic programming. - Yuliana Martínez; Enrique Naredo; Leonardo Trujillo; Pierrick Legrand; Uriel López (J. Exp. Theor. Artif. Intell., 2017)

The training set and generalization in grammatical evolution for autonomous agent navigation. - Enrique Naredo; Paulo Urbano; Leonardo Trujillo (Soft Comput., 2017)

Pyramid: A Hierarchical Approach to Scaling Down Population Size in Genetic Algorithms. - Conor Ryan; Atif Rafiq; Enrique Naredo (CEC, 2020)

General controllers evolved through grammatical evolution with a divergent search. - Enrique Naredo; Conor Ryan; Ivan Guevara; Tiziana Margaria; Paulo Urbano; Leonardo Trujillo (GECCO Companion, 2020)

Grammar-based Fuzzy Pattern Trees for Classification Problems. - Aidan Murphy; Muhammad Sarmad Ali; Douglas Mota Dias; Jorge L. M. Amaral; Enrique Naredo; Conor Ryan (IJCCI, 2020)

GA-based U-Net Architecture Optimization Applied to Retina Blood Vessel Segmentation. - Vipul Popat; Mahsa Mahdinejad; Oscar Dalmau Cedeño; Enrique Naredo; Conor Ryan (IJCCI, 2020)

Towards Incorporating Human Knowledge in Fuzzy Pattern Tree Evolution. - Aidan Murphy; Gráinne Murphy; Jorge L. M. Amaral; Douglas Mota Dias; Enrique Naredo; Conor Ryan (EuroGP, 2021)

Using grammatical evolution for modelling energy consumption on a computer numerical control machine. - Samuel Carvalho; Joe Sullivan; Douglas Mota Dias; Enrique Naredo; Conor Ryan (GECCO Companion, 2021)

AutoGE: A Tool for Estimation of Grammatical Evolution Models. - Muhammad Sarmad Ali; Meghana Kshirsagar 002; Enrique Naredo; Conor Ryan (ICAART (2), 2021)

HNAS: Hyper Neural Architecture Search for Image Segmentation. - Yassir Houreh; Mahsa Mahdinejad; Enrique Naredo; Douglas Mota Dias; Conor Ryan (ICAART (2), 2021)

Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites. - Vijay Sambhe; Shanmukha Rajesh; Enrique Naredo; Douglas Mota Dias; Meghana Kshirsagar 002; Conor Ryan (ICAART (2), 2021)

Towards Automatic Grammatical Evolution for Real-world Symbolic Regression. - Muhammad Sarmad Ali; Meghana Kshirsagar 002; Enrique Naredo; Conor Ryan (IJCCI, 2021)

Pyramid-Z: Evolving Hierarchical Specialists in Genetic Algorithms. - Atif Rafiq; Enrique Naredo; Meghana Kshirsagar 002; Conor Ryan (IJCCI, 2021)

Automated grammar-based feature selection in symbolic regression. - Muhammad Sarmad Ali; Meghana Kshirsagar 002; Enrique Naredo; Conor Ryan (GECCO, 2022)

Lexi2: lexicase selection with lexicographic parsimony pressure. - Allan de Lima; Samuel Carvalho; Douglas Mota Dias; Enrique Naredo; Joseph P. Sullivan; Conor Ryan (GECCO, 2022)

On the effect of embedding hierarchy within multi-objective optimization for evolving symbolic regression models. - Atif Rafiq; Enrique Naredo; Meghana Kshirsagar 002; Conor Ryan (GECCO Companion, 2022)

A Hierarchical Probabilistic Divergent Search Applied to a Binary Classification. - Senthil Murugan; Enrique Naredo; Douglas Mota Dias; Conor Ryan; Flaviano Godínez-Jaimes; James Vincent Patten (ICAART (2), 2022)

HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution. - Gauri Vaidya; Luise Ilg; Meghana Kshirsagar 002; Enrique Naredo; Conor Ryan (ICSBT, 2022)

Fuzzy Pattern Tree Evolution Using Grammatical Evolution. - Aidan Murphy; Muhammad Sarmad Ali; Douglas Mota Dias; Jorge L. M. Amaral; Enrique Naredo; Conor Ryan (SN Comput. Sci., 2022)

Human in the Loop Fuzzy Pattern Tree Evolution. - Aidan Murphy; Gráinne Murphy; Douglas Mota Dias; Jorge L. M. Amaral; Enrique Naredo; Conor Ryan (SN Comput. Sci., 2022)

A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences. - Yahya Almardeny; Alessio Benavoli; Noureddine Boujnah; Enrique Naredo (IEEE Trans. Artif. Intell., 2023)

Dynamic Grammar Pruning for Program Size Reduction in Symbolic Regression. - Muhammad Sarmad Ali; Meghana Kshirsagar 002; Enrique Naredo; Conor Ryan (SN Comput. Sci., 2023)

Neural Architecture Search for Bearing Fault Classification. - Edicson Santiago Bonilla Diaz; Enrique Naredo; Nicolas Francisco Mateo Díaz; Douglas Mota Dias; Maria Alejandra Bonilla Diaz; Susan Harnett; Conor Ryan (ICAART (2), 2024)

Step Size Control in Evolutionary Algorithms for Neural Architecture Search. - Christian Nieber; Douglas Mota Dias; Enrique Naredo; Conor Ryan (IJCCI, 2024)