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ORCIDEdgar Galván López
Edgar Galván
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2020 – today
- 2024
[c56]Fergal Stapleton, Edgar Galván:
NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks. CEC 2024: 1-8- [c55]Darian Reyes Fernández de Bulnes
, Allan de Lima, Edgar Galván, Conor Ryan:
Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution. PPSN (2) 2024: 105-120 - [i20]Fergal Stapleton, Brendan Cody-Kenny, Edgar Galván:
NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming. CoRR abs/2403.19459 (2024) - [i19]Fergal Stapleton, Edgar Galván:
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks. CoRR abs/2404.08786 (2024) - 2023
- [j20]Leonardo Trujillo, Joel Nation, Luis Muñoz, Edgar Galván:
Predicting the success of transfer learning for genetic programming using DeepInsight feature space alignment. AI Commun. 36(3): 159-173 (2023) - [j19]Edgar Galván, Fergal Stapleton:
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction. Appl. Soft Comput. 146: 110693 (2023) - [j18]Gabriel R. Palma, Wesley Augusto Conde Godoy, Eduardo Engel, Douglas Lau, Edgar Galván, Oliver Mason, Charles Markham, Rafael de Andrade Moral:
Pattern-based prediction of population outbreaks. Ecol. Informatics 77: 102220 (2023) - [j17]Edgar Galván, Gavin Simpson, Fred Valdez Ameneyro:
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-Inspired Evolutionary Algorithm in the Game of Carcassonne. IEEE Trans. Games 15(3): 420-429 (2023) - [j16]Shuchao Deng, Zeqiong Lv, Edgar Galván, Yanan Sun:
Evolutionary Neural Architecture Search for Facial Expression Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1405-1419 (2023) - [c54]Fergal Stapleton, Edgar Galván:
Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. GECCO Companion 2023: 83-84 - [i18]Fred Valdez Ameneyro, Edgar Galván:
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy. CoRR abs/2302.03352 (2023) - [i17]Shuchao Deng, Yanan Sun, Edgar Galván:
Neural Architecture Search Using Genetic Algorithm for Facial Expression Recognition. CoRR abs/2304.12194 (2023) - [i16]Fergal Stapleton, Edgar Galván:
Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. CoRR abs/2305.03612 (2023) - [i15]Edgar Galván, Fergal Stapleton:
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction. CoRR abs/2308.02710 (2023) - [i14]Edgar Galván, Fred Valdez Ameneyro:
An Analysis on the Effects of Evolving the Monte Carlo Tree Search Upper Confidence for Trees Selection Policy on Unimodal, Multimodal and Deceptive Landscapes. CoRR abs/2311.13609 (2023) - 2022
- [j15]Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Semantics in Multi-objective Genetic Programming. Appl. Soft Comput. 115: 108143 (2022) - [j14]Vicenç Torra, Edgar Galván, Guillermo Navarro-Arribas:
PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization. Int. J. Inf. Sec. 21(6): 1349-1359 (2022) - [c53]Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Highlights of semantics in multi-objective genetic programming. GECCO Companion 2022: 19-20 - [c52]Shuchao Deng, Yanan Sun, Edgar Galván:
Neural architecture search using genetic algorithm for facial expression recognition. GECCO Companion 2022: 423-426 - [c51]Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Kumar Yogamani:
Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. GECCO Companion 2022: 675-678 - [c50]Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald:
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. IJCNN 2022: 1-7 - [c49]Fred Valdez Ameneyro, Edgar Galván:
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy. SSCI 2022: 1683-1690 - [i13]Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Kumar Yogamani:
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles. CoRR abs/2205.02105 (2022) - [i12]Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald:
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. CoRR abs/2205.15667 (2022) - [i11]Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Highlights of Semantics in Multi-objective Genetic Programming. CoRR abs/2206.05010 (2022) - [i10]Edgar Galván, Gavin Simpson, Fred Valdez Ameneyro:
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne. CoRR abs/2208.13589 (2022) - 2021
- [j13]Edgar Galván, Peter Mooney:
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges. IEEE Trans. Artif. Intell. 2(6): 476-493 (2021) - [j12]Edgar Galván, Joaquín García-Alfaro, Guillermo Navarro-Arribas, Vicenç Torra:
Agents in a privacy-preserving world. Trans. Data Priv. 14(1): 53-63 (2021) - [c48]Fergal Stapleton, Edgar Galván:
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. CEC 2021: 580-587 - [c47]Edgar Galván, Gavin Simpson:
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne. SSCI 2021: 1-8 - [i9]Edgar Galván:
Neuroevolution in Deep Learning: The Role of Neutrality. CoRR abs/2102.08475 (2021) - [i8]Fergal Stapleton, Edgar Galván:
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. CoRR abs/2103.00480 (2021) - [i7]Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Semantics in Multi-objective Genetic Programming. CoRR abs/2105.02944 (2021) - [i6]Edgar Galván, Gavin Simpson:
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne. CoRR abs/2112.09697 (2021) - 2020
- [j11]Leonardo Trujillo, Ernesto Álvarez González, Edgar Galván, Juan J. Tapia, Antonin Ponsich:
On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race. Soft Comput. 24(19): 14757-14770 (2020) - [c46]Vicenç Torra, Guillermo Navarro-Arribas, Edgar Galván:
Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. PSD 2020: 62-73 - [c45]Edgar Galván, Fergal Stapleton:
Semantic-based Distance Approaches in Multi-objective Genetic Programming. SSCI 2020: 149-156 - [c44]Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. SSCI 2020: 2343-2350 - [i5]Edgar Galván, Peter Mooney:
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges. CoRR abs/2006.05415 (2020) - [i4]Edgar Galván, Oxana Gorshkova, Peter Mooney, Fred Valdez Ameneyro, Erik Cuevas:
Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing. CoRR abs/2008.13253 (2020) - [i3]Edgar Galván, Fergal Stapleton:
Semantic-based Distance Approaches in Multi-objective Genetic Programming. CoRR abs/2009.12401 (2020) - [i2]Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. CoRR abs/2009.12974 (2020) - [i1]Edgar Galván, Fergal Stapleton:
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition. CoRR abs/2012.04717 (2020)
2010 – 2019
- 2019
- [c43]Edgar Galván, Marc Schoenauer:
Promoting semantic diversity in multi-objective genetic programming. GECCO 2019: 1021-1029 - 2018
- [j10]Faiyaz Doctor, Edgar Galván López, Edward P. K. Tsang:
Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 171-173 (2018) - 2017
- [c42]Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. Artificial Evolution 2017: 72-87 - [c41]Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
Dynamic GP fitness cases in static and dynamic optimisation problems. GECCO (Companion) 2017: 227-228 - 2016
- [j9]Yuliana Martínez, Leonardo Trujillo, Pierrick Legrand, Edgar Galván López:
Prediction of expected performance for a genetic programming classifier. Genet. Program. Evolvable Mach. 17(4): 409-449 (2016) - [j8]Leonardo Trujillo, Luis Muñoz, Edgar Galván López, Sara Silva:
neat Genetic Programming: Controlling bloat naturally. Inf. Sci. 333: 21-43 (2016) - [c40]Edgar Galván López, Lucia Vázquez-Mendoza, Leonardo Trujillo:
Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data. MICAI (2) 2016: 261-272 - [c39]Edgar Galván López, Efrén Mezura-Montes, Ouassim Ait ElHara, Marc Schoenauer:
On the Use of Semantics in Multi-objective Genetic Programming. PPSN 2016: 353-363 - [c38]Edgar Galván López, Ouassim Ait ElHara:
Using fitness comparison disagreements as a metric for promoting diversity in Dynamic Optimisation Problems. SSCI 2016: 1-8 - 2015
- [j7]Edgar Galván López, Tom Curran, James McDermott, Paula Carroll:
Design of an autonomous intelligent Demand-Side Management system using stochastic optimisation evolutionary algorithms. Neurocomputing 170: 270-285 (2015) - [c37]Brendan Cody-Kenny, Edgar Galván López, Stephen Barrett:
locoGP: Improving Performance by Genetic Programming Java Source Code. GECCO (Companion) 2015: 811-818 - [c36]Edgar Galván López, Marc Schoenauer, Constantinos Patsakis:
Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms. IJCCI (ECTA) 2015: 106-115 - [c35]Edgar Galván López, Marc Schoenauer, Constantinos Patsakis, Leonardo Trujillo:
Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. IJCCI (Selected Papers) 2015: 155-174 - 2014
- [j6]Constantinos Patsakis, Athanasios Zigomitros, Achilleas Papageorgiou, Edgar Galván López:
Distributing privacy policies over multimedia content across multiple online social networks. Comput. Networks 75: 531-543 (2014) - [c34]Edgar Galván López, Ruohua Li, Constantinos Patsakis, Siobhán Clarke, Vinny Cahill:
Heuristic-Based Multi-Agent Monte Carlo Tree Search. IISA 2014: 177-182 - [c33]Adam Taylor, Ivana Dusparic, Edgar Galván López, Siobhán Clarke, Vinny Cahill:
Accelerating Learning in multi-objective systems through Transfer Learning. IJCNN 2014: 2298-2305 - [c32]Colin Harris, Ivana Dusparic, Edgar Galván López, Andrei Marinescu, Vinny Cahill, Siobhán Clarke:
Set point control for charging of electric vehicles on the distribution network. ISGT 2014: 1-5 - [c31]Edgar Galván López, Adam Taylor, Siobhán Clarke, Vinny Cahill:
Design of an automatic demand-side management system based on evolutionary algorithms. SAC 2014: 525-530 - 2013
- [c30]Yuliana Martínez, Enrique Naredo, Leonardo Trujillo, Edgar Galván López:
Searching for novel regression functions. IEEE Congress on Evolutionary Computation 2013: 16-23 - [c29]Ahmed Kattan, Yew-Soon Ong, Edgar Galván López:
Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach. IEEE Congress on Evolutionary Computation 2013: 2556-2563 - [c28]Edgar Galván López, Brendan Cody-Kenny, Leonardo Trujillo, Ahmed Kattan:
Using semantics in the selection mechanism in Genetic Programming: A simple method for promoting semantic diversity. IEEE Congress on Evolutionary Computation 2013: 2972-2979 - 2012
- [j5]Riccardo Poli, Edgar Galván López:
The Effects of Constant and Bit-Wise Neutrality on Problem Hardness, Fitness Distance Correlation and Phenotypic Mutation Rates. IEEE Trans. Evol. Comput. 16(2): 279-300 (2012) - [c27]Ahmed Kattan, Edgar Galván López:
Evolving radial basis function networks via GP for estimating fitness values using surrogate models. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c26]Edgar Galván López, Leonardo Trujillo, James McDermott, Ahmed Kattan:
Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty. EVOLVE 2012: 41-56 - [c25]Leonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand:
A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming. GECCO (Companion) 2012: 1489-1490 - [c24]Edgar Galván, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill:
Reducing electricity costs in a dynamic pricing environment. SmartGridComm 2012: 169-174 - 2011
- [j4]Edgar Galván López, Riccardo Poli, Ahmed Kattan, Michael O'Neill, Anthony Brabazon:
Neutrality in evolutionary algorithms... What do we know? Evol. Syst. 2(3): 145-163 (2011) - [j3]Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O'Neill, Robert I. McKay, Edgar Galván López:
Semantically-based crossover in genetic programming: application to real-valued symbolic regression. Genet. Program. Evolvable Mach. 12(2): 91-119 (2011) - [j2]Edgar Galván López, James McDermott, Michael O'Neill, Anthony Brabazon:
Defining locality as a problem difficulty measure in genetic programming. Genet. Program. Evolvable Mach. 12(4): 365-401 (2011) - [c23]Leonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand:
Predicting problem difficulty for genetic programming applied to data classification. GECCO 2011: 1355-1362 - 2010
- [c22]Jonathan Byrne, James McDermott, Edgar Galván López, Michael O'Neill:
Implementing an intuitive mutation operator for interactive evolutionary 3D design. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c21]David Fagan, Miguel Nicolau, Michael O'Neill, Edgar Galván López, Anthony Brabazon, Seán McGarraghy:
Investigating mapping order in piGE. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c20]Edgar Galván López, David Fagan, Eoin Murphy, John Mark Swafford, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Comparing the performance of the evolvable piGrammatical Evolution genotype-phenotype map to Grammatical Evolution in the dynamic Ms. Pac-Man environment. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c19]Edgar Galván López, James McDermott, Michael O'Neill, Anthony Brabazon:
Defining locality in genetic programming to predict performance. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c18]Eoin Murphy, Michael O'Neill, Edgar Galván López, Anthony Brabazon:
Tree-adjunct grammatical evolution. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c17]David Fagan, Michael O'Neill, Edgar Galván López, Anthony Brabazon, Seán McGarraghy:
An Analysis of Genotype-Phenotype Maps in Grammatical Evolution. EuroGP 2010: 62-73 - [c16]Ahmed Kattan, Edgar Galván López, Riccardo Poli, Michael O'Neill:
GP-Fileprints: File Types Detection Using Genetic Programming. EuroGP 2010: 134-145 - [c15]Edgar Galván López, John Mark Swafford, Michael O'Neill, Anthony Brabazon:
Evolving a Ms. PacMan Controller Using Grammatical Evolution. EvoApplications (1) 2010: 161-170 - [c14]Edgar Galván López, James McDermott, Michael O'Neill, Anthony Brabazon:
Towards an understanding of locality in genetic programming. GECCO 2010: 901-908 - [c13]James McDermott, Edgar Galván López, Michael O'Neill:
A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes. PPSN (1) 2010: 164-173
2000 – 2009
- 2009
- [b1]Edgar Galván López:
An analysis of the effects of neutrality on problem hardness for evolutionary algorithms. University of Essex, Colchester, UK, 2009 - [c12]Nguyen Quang Uy, Michael O'Neill, Nguyen Xuan Hoai, Bob McKay, Edgar Galván López:
Semantic Similarity Based Crossover in GP: The Case for Real-Valued Function Regression. Artificial Evolution 2009: 170-181 - [c11]Edgar Galván López, Michael O'Neill:
On the effects of locality in a permutation problem: The Sudoku Puzzle. CIG 2009: 80-87 - [c10]Edgar Galván López, Riccardo Poli:
An Empirical Investigation of How Degree Neutrality Affects GP Search. MICAI 2009: 728-739 - 2008
- [j1]Edgar Galván López:
Efficient graph-based genetic programming representation with multiple outputs. Int. J. Autom. Comput. 5(1): 81-89 (2008) - [c9]Edgar Galván López, Stephen Dignum, Riccardo Poli:
The Effects of Constant Neutrality on Performance and Problem Hardness in GP. EuroGP 2008: 312-324 - 2007
- [c8]Edgar Galván López, Katya Rodríguez-Vázquez:
Multiple Interactive Outputs in a Single Tree: An Empirical Investigation. EuroGP 2007: 341-350 - [c7]Riccardo Poli, Edgar Galván López:
On the Effects of Bit-Wise Neutrality on Fitness Distance Correlation, Phenotypic Mutation Rates and Problem Hardness. FOGA 2007: 138-164 - [c6]Edgar Galván López, Riccardo Poli:
How and why a bit-wise neutrality with and without locality affects evolutionary search. GECCO 2007: 1508 - [c5]Edgar Galván López, Julian Togelius, Simon M. Lucas:
Towards understanding the effects of neutrality on the sudoku problem. GECCO 2007: 1509 - 2006
- [c4]Edgar Galván López, Riccardo Poli:
An empirical investigation of how and why neutrality affects evolutionary search. GECCO 2006: 1149-1156 - [c3]Edgar Galván López, Riccardo Poli:
Some Steps Towards Understanding How Neutrality Affects Evolutionary Search. PPSN 2006: 778-787 - [c2]Edgar Galván López, Katya Rodríguez-Vázquez:
The Importance of Neutral Mutations in GP. PPSN 2006: 870-879 - 2004
- [c1]Edgar Galván López, Riccardo Poli, Carlos A. Coello Coello:
Reusing Code in Genetic Programming. EuroGP 2004: 359-368
Coauthor Index
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