Reusing Code in Genetic Programming. - Edgar Galván López; Riccardo Poli; Carlos A. Coello Coello (EuroGP, 2004)

An empirical investigation of how and why neutrality affects evolutionary search. - Edgar Galván López; Riccardo Poli (GECCO, 2006)

Some Steps Towards Understanding How Neutrality Affects Evolutionary Search. - Edgar Galván López; Riccardo Poli (PPSN, 2006)

The Importance of Neutral Mutations in GP. - Edgar Galván López; Katya Rodríguez-Vázquez (PPSN, 2006)

Multiple Interactive Outputs in a Single Tree: An Empirical Investigation. - Edgar Galván López; Katya Rodríguez-Vázquez (EuroGP, 2007)

On the Effects of Bit-Wise Neutrality on Fitness Distance Correlation, Phenotypic Mutation Rates and Problem Hardness. - Riccardo Poli; Edgar Galván López (FOGA, 2007)

How and why a bit-wise neutrality with and without locality affects evolutionary search. - Edgar Galván López; Riccardo Poli (GECCO, 2007)

Towards understanding the effects of neutrality on the sudoku problem. - Edgar Galván López; Julian Togelius; Simon M. Lucas (GECCO, 2007)

The Effects of Constant Neutrality on Performance and Problem Hardness in GP. - Edgar Galván López; Stephen Dignum; Riccardo Poli (EuroGP, 2008)

Efficient graph-based genetic programming representation with multiple outputs. - Edgar Galván López (Int. J. Autom. Comput., 2008)

Semantic Similarity Based Crossover in GP: The Case for Real-Valued Function Regression. - Nguyen Quang Uy; Michael O'Neill 001; Nguyen Xuan Hoai; Bob McKay; Edgar Galván López (Artificial Evolution, 2009)

On the effects of locality in a permutation problem: The Sudoku Puzzle. - Edgar Galván López; Michael O'Neill 001 (CIG, 2009)

An Empirical Investigation of How Degree Neutrality Affects GP Search. - Edgar Galván López; Riccardo Poli (MICAI, 2009)

An analysis of the effects of neutrality on problem hardness for evolutionary algorithms. - Edgar Galván López (2009)

Implementing an intuitive mutation operator for interactive evolutionary 3D design. - Jonathan Byrne; James McDermott; Edgar Galván López; Michael O'Neill 001 (IEEE Congress on Evolutionary Computation, 2010)

Investigating mapping order in piGE. - David Fagan; Miguel Nicolau; Michael O'Neill 001; Edgar Galván López; Anthony Brabazon; Seán McGarraghy (IEEE Congress on Evolutionary Computation, 2010)

Comparing the performance of the evolvable piGrammatical Evolution genotype-phenotype map to Grammatical Evolution in the dynamic Ms. Pac-Man environment. - Edgar Galván López; David Fagan; Eoin Murphy; John Mark Swafford; Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (IEEE Congress on Evolutionary Computation, 2010)

Defining locality in genetic programming to predict performance. - Edgar Galván López; James McDermott; Michael O'Neill 001; Anthony Brabazon (IEEE Congress on Evolutionary Computation, 2010)

Tree-adjunct grammatical evolution. - Eoin Murphy; Michael O'Neill 001; Edgar Galván López; Anthony Brabazon (IEEE Congress on Evolutionary Computation, 2010)

An Analysis of Genotype-Phenotype Maps in Grammatical Evolution. - David Fagan; Michael O'Neill 001; Edgar Galván López; Anthony Brabazon; Seán McGarraghy (EuroGP, 2010)

GP-Fileprints: File Types Detection Using Genetic Programming. - Ahmed Kattan; Edgar Galván López; Riccardo Poli; Michael O'Neill 001 (EuroGP, 2010)

Evolving a Ms. PacMan Controller Using Grammatical Evolution. - Edgar Galván López; John Mark Swafford; Michael O'Neill 001; Anthony Brabazon (EvoApplications (1), 2010)

Towards an understanding of locality in genetic programming. - Edgar Galván López; James McDermott; Michael O'Neill 001; Anthony Brabazon (GECCO, 2010)

A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes. - James McDermott; Edgar Galván López; Michael O'Neill 001 (PPSN (1), 2010)

Predicting problem difficulty for genetic programming applied to data classification. - Leonardo Trujillo; Yuliana Martínez; Edgar Galván López; Pierrick Legrand (GECCO, 2011)

Neutrality in evolutionary algorithms... What do we know? - Edgar Galván López; Riccardo Poli; Ahmed Kattan; Michael O'Neill 001; Anthony Brabazon (Evol. Syst., 2011)

Defining locality as a problem difficulty measure in genetic programming. - Edgar Galván López; James McDermott; Michael O'Neill 001; Anthony Brabazon (Genet. Program. Evolvable Mach., 2011)

Semantically-based crossover in genetic programming: application to real-valued symbolic regression. - Nguyen Quang Uy; Nguyen Xuan Hoai; Michael O'Neill 001; Robert I. McKay; Edgar Galván López (Genet. Program. Evolvable Mach., 2011)

Evolving radial basis function networks via GP for estimating fitness values using surrogate models. - Ahmed Kattan; Edgar Galván López (IEEE Congress on Evolutionary Computation, 2012)

Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty. - Edgar Galván López; Leonardo Trujillo; James McDermott; Ahmed Kattan (EVOLVE, 2012)

A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming. - Leonardo Trujillo; Yuliana Martínez; Edgar Galván López; Pierrick Legrand (GECCO (Companion), 2012)

Reducing electricity costs in a dynamic pricing environment. - Edgar Galván; Colin Harris; Ivana Dusparic; Siobhán Clarke; Vinny Cahill (SmartGridComm, 2012)

The Effects of Constant and Bit-Wise Neutrality on Problem Hardness, Fitness Distance Correlation and Phenotypic Mutation Rates. - Riccardo Poli; Edgar Galván López (IEEE Trans. Evol. Comput., 2012)

Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach. - Ahmed Kattan; Yew-Soon Ong; Edgar Galván López (IEEE Congress on Evolutionary Computation, 2013)

Using semantics in the selection mechanism in Genetic Programming: A simple method for promoting semantic diversity. - Edgar Galván López; Brendan Cody-Kenny; Leonardo Trujillo; Ahmed Kattan (IEEE Congress on Evolutionary Computation, 2013)

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

Heuristic-Based Multi-Agent Monte Carlo Tree Search. - Edgar Galván López; Ruohua Li; Constantinos Patsakis; Siobhán Clarke; Vinny Cahill (IISA, 2014)

Accelerating Learning in multi-objective systems through Transfer Learning. - Adam Taylor; Ivana Dusparic; Edgar Galván López; Siobhán Clarke; Vinny Cahill (IJCNN, 2014)

Set point control for charging of electric vehicles on the distribution network. - Colin Harris; Ivana Dusparic; Edgar Galván López; Andrei Marinescu; Vinny Cahill; Siobhán Clarke (ISGT, 2014)

Design of an automatic demand-side management system based on evolutionary algorithms. - Edgar Galván López; Adam Taylor; Siobhán Clarke; Vinny Cahill (SAC, 2014)

Distributing privacy policies over multimedia content across multiple online social networks. - Constantinos Patsakis; Athanasios Zigomitros; Achilleas Papageorgiou; Edgar Galván López (Comput. Networks, 2014)

locoGP: Improving Performance by Genetic Programming Java Source Code. - Brendan Cody-Kenny; Edgar Galván López; Stephen Barrett (GECCO (Companion), 2015)

Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms. - Edgar Galván López; Marc Schoenauer; Constantinos Patsakis (IJCCI (ECTA), 2015)

Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. - Edgar Galván López; Marc Schoenauer; Constantinos Patsakis; Leonardo Trujillo (IJCCI (Selected Papers), 2015)

Design of an autonomous intelligent Demand-Side Management system using stochastic optimisation evolutionary algorithms. - Edgar Galván López; Tom Curran; James McDermott; Paula Carroll (Neurocomputing, 2015)

Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data. - Edgar Galván López; Lucia Vázquez-Mendoza; Leonardo Trujillo (MICAI (2), 2016)

On the Use of Semantics in Multi-objective Genetic Programming. - Edgar Galván López; Efrén Mezura-Montes; Ouassim Ait ElHara; Marc Schoenauer (PPSN, 2016)

Using fitness comparison disagreements as a metric for promoting diversity in Dynamic Optimisation Problems. - Edgar Galván López; Ouassim Ait ElHara (SSCI, 2016)

Prediction of expected performance for a genetic programming classifier. - Yuliana Martínez; Leonardo Trujillo; Pierrick Legrand; Edgar Galván López (Genet. Program. Evolvable Mach., 2016)

neat Genetic Programming: Controlling bloat naturally. - Leonardo Trujillo; Luis Muñoz; Edgar Galván López; Sara Silva (Inf. Sci., 2016)

On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. - Edgar Galván López; Lucia Vázquez-Mendoza; Marc Schoenauer; Leonardo Trujillo (Artificial Evolution, 2017)

Dynamic GP fitness cases in static and dynamic optimisation problems. - Edgar Galván López; Lucia Vázquez-Mendoza; Marc Schoenauer; Leonardo Trujillo (GECCO (Companion), 2017)

Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems. - Faiyaz Doctor; Edgar Galván López; Edward P. K. Tsang (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Promoting semantic diversity in multi-objective genetic programming. - Edgar Galván; Marc Schoenauer (GECCO, 2019)

Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. - Vicenç Torra; Guillermo Navarro-Arribas; Edgar Galván (PSD, 2020)

Playing Carcassonne with Monte Carlo Tree Search. - Fred Valdez Ameneyro; Edgar Galván; Ángel Fernando Kuri Morales (SSCI, 2020)

Semantic-based Distance Approaches in Multi-objective Genetic Programming. - Edgar Galván; Fergal Stapleton (SSCI, 2020)

Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing. - Edgar Galván; Oxana Gorshkova; Peter Mooney; Fred Valdez Ameneyro; Erik Cuevas (CoRR, 2020)

Promoting Semantics in Multi-objective Genetic Programming based on Decomposition. - Edgar Galván; Fergal Stapleton (CoRR, 2020)

On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race. - Leonardo Trujillo; Ernesto Álvarez González; Edgar Galván; Juan J. Tapia; Antonin Ponsich (Soft Comput., 2020)

Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. - Fergal Stapleton; Edgar Galván (CEC, 2021)

On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne. - Edgar Galván; Gavin Simpson (SSCI, 2021)

Neuroevolution in Deep Learning: The Role of Neutrality. - Edgar Galván (CoRR, 2021)

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges. - Edgar Galván; Peter Mooney (IEEE Trans. Artif. Intell., 2021)

Agents in a privacy-preserving world. - Edgar Galván; Joaquín García-Alfaro; Guillermo Navarro-Arribas; Vicenç Torra (Trans. Data Priv., 2021)

Neural architecture search using genetic algorithm for facial expression recognition. - Shuchao Deng; Yanan Sun 001; Edgar Galván (GECCO Companion, 2022)

Highlights of semantics in multi-objective genetic programming. - Edgar Galván; Leonardo Trujillo; Fergal Stapleton (GECCO Companion, 2022)

Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. - Fergal Stapleton; Edgar Galván; Ganesh Sistu; Senthil Kumar Yogamani (GECCO Companion, 2022)

ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. - Pramit Dutta; Ganesh Sistu; Senthil Kumar Yogamani; Edgar Galván; John McDonald 001 (IJCNN, 2022)

Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy. - Fred Valdez Ameneyro; Edgar Galván (SSCI, 2022)

Semantics in Multi-objective Genetic Programming. - Edgar Galván; Leonardo Trujillo; Fergal Stapleton (Appl. Soft Comput., 2022)

PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization. - Vicenç Torra; Edgar Galván; Guillermo Navarro-Arribas (Int. J. Inf. Sec., 2022)

Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. - Fergal Stapleton; Edgar Galván (GECCO Companion, 2023)

Predicting the success of transfer learning for genetic programming using DeepInsight feature space alignment. - Leonardo Trujillo; Joel Nation; Luis Muñoz; Edgar Galván (AI Commun., 2023)

Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-Inspired Evolutionary Algorithm in the Game of Carcassonne. - Edgar Galván; Gavin Simpson; Fred Valdez Ameneyro (IEEE Trans. Games, 2023)

Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction. - Edgar Galván; Fergal Stapleton (Appl. Soft Comput., 2023)

Evolutionary Neural Architecture Search for Facial Expression Recognition. - Shuchao Deng; Zeqiong Lv; Edgar Galván; Yanan Sun 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Pattern-based prediction of population outbreaks. - Gabriel R. Palma; Wesley Augusto Conde Godoy; Eduardo Engel; Douglas Lau; Edgar Galván; Oliver Mason; Charles Markham; Rafael de Andrade Moral (Ecol. Informatics, 2023)

NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks. - Fergal Stapleton; Edgar Galván (CEC, 2024)

Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution. - Darian Reyes Fernández de Bulnes; Allan de Lima; Edgar Galván; Conor Ryan (PPSN (2), 2024)

NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming. - Fergal Stapleton; Brendan Cody-Kenny; Edgar Galván (CoRR, 2024)

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks. - Fergal Stapleton; Edgar Galván (CoRR, 2024)

Neuroevolution-based multiobjective algorithm for feature selection and binary classification of DNA microarrays. - Daniel García-Núñez; Katya Rodrígez-Vázquez; Carlos Hernández; Edgar Galván (Appl. Soft Comput., 2025)

A parallel genetic algorithm for multi-criteria path routing on complex real-world road networks. - Harish Sharma; Edgar Galván; Peter Mooney (Appl. Soft Comput., 2025)

An analysis on the effects of evolving the Monte Carlo tree search upper confidence for trees selection policy on unimodal, multimodal and deceptive landscapes. - Edgar Galván; Fred Valdez Ameneyro (Inf. Sci., 2025)

MultiPath Island-Based Genetic Algorithm for the K-Most Diverse Near-Shortest Paths. - Harish Sharma; Edgar Galván; Peter Mooney (Inf. Sci., 2025)

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks. - Fergal Stapleton; Daniel García-Núñez; Yanan Sun 001; Edgar Galván (CoRR, 2025)