David Fagan

According to our database, David Fagan authored at least 35 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Optimizing Team Sport Training With Multi-Objective Evolutionary Computation.

Mark Connor, David Fagan, Barry Watters, Fergal McCaffery, Michael O'Neill

Int. J. Comput. Sci. Sport, 2021

2020

Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks.

Takfarinas Saber, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Automated Self-Optimization in Heterogeneous Wireless Communications Networks.

David Lynch, Michael Fenton, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill

IEEE/ACM Trans. Netw., 2019

A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks.

Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill

Genet. Program. Evolvable Mach., 2019

Towards Automation and Augmentation of the Design of Schedulers for Cellular Communications Networks.

Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill

Evol. Comput., 2019

Optimising Team Sport Training Plans With Grammatical Evolution.

Mark Connor, David Fagan, Michael O'Neill

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

A Hierarchical Approach to Grammar-Guided Genetic Programming: The Case of Scheduling in Heterogeneous Networks.

Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill

Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

Extending Program Synthesis Grammars for Grammar-Guided Genetic Programming.

Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming.

Michael O'Neill, David Fagan

Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Towards effective semantic operators for program synthesis in genetic programming.

Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Towards automation & augmentation of the design of schedulers for cellular communications networks.

Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks.

Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill

Proceedings of the Genetic Programming - 21st European Conference, 2018

Managing Quality of Service Through Intelligent Scheduling in Heterogeneous Wireless Communications Networks.

David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Towards Understanding and Refining the General Program Synthesis Benchmark Suite with Genetic Programming.

Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Mapping in Grammatical Evolution.

David Fagan, Eoin Murphy

Proceedings of the Handbook of Grammatical Evolution, 2018

2017

Exploring Target Change Related Fitness Reduction in the Moving Point Dynamic Environment.

David Fagan, Michael O'Neill

Proceedings of the Theory and Practice of Natural Computing - 6th International Conference, 2017

Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment.

David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

PonyGE2: grammatical evolution in Python.

Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming.

Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill

Proceedings of the Genetic Programming - 20th European Conference, 2017

Gems: A novel method to accelerate Evolutionary Algorithms.

Rory Murphy, David Fagan, Michael O'Neill

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Social Grammatical Evolution with imitation learning for real-valued function estimation.

Nam Le, Michael O'Neill, David Fagan, Anthony Brabazon

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Semantics-Based Crossover for Program Synthesis in Genetic Programming.

Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill

Proceedings of the Artificial Evolution, 2017

2016

Grammar Design for Derivation Tree Based Genetic Programming Systems.

Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill

Proceedings of the Genetic Programming - 19th European Conference, 2016

An exploration of grammatical encodings to model six nations rugby match outcomes.

Michael O'Neill, Anthony Brabazon, David Fagan

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Exploring position independent initialisation in grammatical evolution.

David Fagan, Michael Fenton, Michael O'Neill

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Introducing Semantic-Clustering Selection in Grammatical Evolution.

Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Deep evolution of image representations for handwritten digit recognition.

Alexandros Agapitos, Michael O'Neill, Miguel Nicolau, David Fagan, Ahmed Kattan, Anthony Brabazon, Kathleen M. Curran

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2013

Understanding Expansion Order and Phenotypic Connectivity in πGE.

David Fagan, Erik Hemberg, Michael O'Neill, Seán McGarraghy

Proceedings of the Genetic Programming - 16th European Conference, 2013

2012

Towards adaptive mutation in grammatical evolution.

David Fagan, Erik Hemberg, Miguel Nicolau, Michael O'Neill, Seán McGarraghy

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Dynamic ant: introducing a new benchmark for genetic programming in dynamic environments.

David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Genotype-phenotype mapping in dynamic environments with grammatical evolution.

David Fagan

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Investigation of the Performance of Different Mapping Orders for GE on the Max Problem.

David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon, Seán McGarraghy

Proceedings of the Genetic Programming - 14th European Conference, 2011

2010

An Analysis of Genotype-Phenotype Maps in Grammatical Evolution.

David Fagan, Michael O'Neill, Edgar Galván López, Anthony Brabazon, Seán McGarraghy

Proceedings of the Genetic Programming, 13th European Conference, 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, Anthony Brabazon

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Investigating mapping order in piGE.

David Fagan, Miguel Nicolau, Michael O'Neill, Edgar Galván López, Anthony Brabazon, Seán McGarraghy

Proceedings of the IEEE Congress on Evolutionary Computation, 2010