Edgar Galván López

Orcid: 0000-0001-8474-5234

According to our database1, Edgar Galván López authored at least 83 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks.
CoRR, 2024

NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming.
CoRR, 2024

Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Pattern-based prediction of population outbreaks.
Ecol. Informatics, November, 2023

Evolutionary Neural Architecture Search for Facial Expression Recognition.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction.
Appl. Soft Comput., October, 2023

Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-Inspired Evolutionary Algorithm in the Game of Carcassonne.
IEEE Trans. Games, September, 2023

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, 2023

Predicting the success of transfer learning for genetic programming using DeepInsight feature space alignment.
AI Commun., 2023

Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization.
Int. J. Inf. Sec., 2022

Semantics in Multi-objective Genetic Programming.
Appl. Soft Comput., 2022

Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Highlights of semantics in multi-objective genetic programming.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Neural architecture search using genetic algorithm for facial expression recognition.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Agents in a privacy-preserving world.
Trans. Data Priv., 2021

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges.
IEEE Trans. Artif. Intell., 2021

Neuroevolution in Deep Learning: The Role of Neutrality.
CoRR, 2021

On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race.
Soft Comput., 2020

Promoting Semantics in Multi-objective Genetic Programming based on Decomposition.
CoRR, 2020

Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing.
CoRR, 2020

Semantic-based Distance Approaches in Multi-objective Genetic Programming.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Playing Carcassonne with Monte Carlo Tree Search.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Explaining Recurrent Machine Learning Models: Integral Privacy Revisited.
Proceedings of the Privacy in Statistical Databases, 2020

2019
Promoting semantic diversity in multi-objective genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

2017
Dynamic GP fitness cases in static and dynamic optimisation problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems.
Proceedings of the Artificial Evolution, 2017

2016
neat Genetic Programming: Controlling bloat naturally.
Inf. Sci., 2016

Prediction of expected performance for a genetic programming classifier.
Genet. Program. Evolvable Mach., 2016

Using fitness comparison disagreements as a metric for promoting diversity in Dynamic Optimisation Problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

On the Use of Semantics in Multi-objective Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data.
Proceedings of the Advances in Soft Computing, 2016

2015
Design of an autonomous intelligent Demand-Side Management system using stochastic optimisation evolutionary algorithms.
Neurocomputing, 2015

Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

locoGP: Improving Performance by Genetic Programming Java Source Code.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Distributing privacy policies over multimedia content across multiple online social networks.
Comput. Networks, 2014

Design of an automatic demand-side management system based on evolutionary algorithms.
Proceedings of the Symposium on Applied Computing, 2014

Set point control for charging of electric vehicles on the distribution network.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Accelerating Learning in multi-objective systems through Transfer Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Heuristic-Based Multi-Agent Monte Carlo Tree Search.
Proceedings of the 5th International Conference on Information, 2014

2013
Searching for novel regression functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Using semantics in the selection mechanism in Genetic Programming: A simple method for promoting semantic diversity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
The Effects of Constant and Bit-Wise Neutrality on Problem Hardness, Fitness Distance Correlation and Phenotypic Mutation Rates.
IEEE Trans. Evol. Comput., 2012

Reducing electricity costs in a dynamic pricing environment.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty.
Proceedings of the EVOLVE, 2012

Evolving radial basis function networks via GP for estimating fitness values using surrogate models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Semantically-based crossover in genetic programming: application to real-valued symbolic regression.
Genet. Program. Evolvable Mach., 2011

Defining locality as a problem difficulty measure in genetic programming.
Genet. Program. Evolvable Mach., 2011

Neutrality in evolutionary algorithms... What do we know?
Evol. Syst., 2011

Predicting problem difficulty for genetic programming applied to data classification.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes.
Proceedings of the Parallel Problem Solving from Nature, 2010

Towards an understanding of locality in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolving a Ms. PacMan Controller Using Grammatical Evolution.
Proceedings of the Applications of Evolutionary Computation, 2010

GP-Fileprints: File Types Detection Using Genetic Programming.
Proceedings of the Genetic Programming, 13th European Conference, 2010

An Analysis of Genotype-Phenotype Maps in Grammatical Evolution.
Proceedings of the Genetic Programming, 13th European Conference, 2010

Tree-adjunct grammatical evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Defining locality in genetic programming to predict performance.
Proceedings of the 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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Investigating mapping order in piGE.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Implementing an intuitive mutation operator for interactive evolutionary 3D design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
An analysis of the effects of neutrality on problem hardness for evolutionary algorithms.
PhD thesis, 2009

An Empirical Investigation of How Degree Neutrality Affects GP Search.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

On the effects of locality in a permutation problem: The Sudoku Puzzle.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Semantic Similarity Based Crossover in GP: The Case for Real-Valued Function Regression.
Proceedings of the Artifical Evolution, 2009

2008
Efficient graph-based genetic programming representation with multiple outputs.
Int. J. Autom. Comput., 2008

The Effects of Constant Neutrality on Performance and Problem Hardness in GP.
Proceedings of the Genetic Programming, 11th European Conference, 2008

2007
Towards understanding the effects of neutrality on the sudoku problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

How and why a bit-wise neutrality with and without locality affects evolutionary search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

On the Effects of Bit-Wise Neutrality on Fitness Distance Correlation, Phenotypic Mutation Rates and Problem Hardness.
Proceedings of the Foundations of Genetic Algorithms, 9th International Workshop, 2007

Multiple Interactive Outputs in a Single Tree: An Empirical Investigation.
Proceedings of the Genetic Programming, 10th European Conference, 2007

2006
The Importance of Neutral Mutations in GP.
Proceedings of the Parallel Problem Solving from Nature, 2006

Some Steps Towards Understanding How Neutrality Affects Evolutionary Search.
Proceedings of the Parallel Problem Solving from Nature, 2006

An empirical investigation of how and why neutrality affects evolutionary search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2004
Reusing Code in Genetic Programming.
Proceedings of the Genetic Programming, 7th European Conference, 2004


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