Grant Dick

Genet. Program. Evolvable Mach., June, 2024

Using Decomposed Error for Reproducing Implicit Understanding of Algorithms.

[BibT_eX]

[DOI]

Evol. Comput., 2024

Characterising the Double Descent of Symbolic Regression.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Revisiting Bagging for Stochastic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Standardization and Data Augmentation in Genetic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Initialisation and grammar design in grammar-guided evolutionary computation.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Genetic programming, standardisation, and stochastic gradient descent revisited: initial findings on SRBench.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Towards Explainable AutoML Using Error Decomposition.

[BibT_eX]

[DOI]

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2020

Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2020

Feature standardisation and coefficient optimisation for effective symbolic regression.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2018

Evolving bagging ensembles using a spatially-structured niching method.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Measuring Language Complexity Using Word Embeddings.

[BibT_eX]

[DOI]

Mansi Chugh

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Feature Standardisation in Symbolic Regression.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Stability of Word Embeddings Using Word2Vec.

[BibT_eX]

[DOI]

Mansi Chugh

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Just because it works: a response to comments on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms".

[BibT_eX]

[DOI]

James MacLaurin

Genet. Program. Evolvable Mach., 2017

On the mapping of genotype to phenotype in evolutionary algorithms.

[BibT_eX]

[DOI]

James MacLaurin

Genet. Program. Evolvable Mach., 2017

Interval Arithmetic and Interval-Aware Operators for Genetic Programming.

[BibT_eX]

[DOI]

CoRR, 2017

Revisiting interval arithmetic for regression problems in genetic programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Sensitivity-like analysis for feature selection in genetic programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2015

Examining the "Best of Both Worlds" of Grammatical Evolution.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Re-Examination of the Use of Genetic Programming on the Oral Bioavailability Problem.

[BibT_eX]

[DOI]

Aysha P. Rimoni

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 18th European Conference, 2015

2014

Bloat and Generalisation in Symbolic Regression.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Model representation and cooperative coevolution for finite-state machine evolution.

[BibT_eX]

[DOI]

Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

An effective parse tree representation for tartarus.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A true finite-state baseline for tartarus.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Structured Populations and the Maintenance of Sex.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure.

[BibT_eX]

[DOI]

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

2012

Niche allocation in spatially-structured evolutionary algorithms with gradients.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Weighted local sharing and local clearing for multimodal optimisation.

[BibT_eX]

[DOI]

Soft Comput., 2011

2010

Implicitly Controlling Bloat in Genetic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2010

Automatic identification of the niche radius using spatially-structured clearing methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

The utility of scale factor adaptation in differential evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008

Spatially-Structured Sharing Technique for Multimodal Problems.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2008

Evolutionary dynamics for the spatial Moran process.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2008

A Weighted Local Sharing Technique for Multimodal Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Exploring the use of ancestry as a unified network model of finite population evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2006

Evolutionary Dynamics on Graphs: The Moran Process.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Multimodal Optimisation with Structured Populations and Local Environments.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Spatially-Structured Evolutionary Algorithms and Sharing: Do They Mix?

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

2005

The behaviour of genetic drift in a spatially-structured evolutionary algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

On Evolving Fixed Pattern Strategies for Iterated Prisoner's Dilemma.

[BibT_eX]

[DOI]

Daniel Jang

Proceedings of the Computer Science 2004, 2004

2003

Feature Selection of Intrusion Detection Data using a Hybrid Genetic Algorithm/KNN Approach.

[BibT_eX]

Melanie Middlemiss

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

The Spatially-Dispersed Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation, 2003

Weighted feature extraction using a genetic algorithm for intrusion detection.

[BibT_eX]

[DOI]

Melanie Middlemiss

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

The spatially-dispersed genetic algorithm: an explicit spatial population structure for GAs.

[BibT_eX]

[DOI]