Grant Dick

Orcid: 0000-0002-6841-5419

According to our database1, Grant Dick authored at least 45 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
An ensemble learning interpretation of geometric semantic genetic programming.
Genet. Program. Evolvable Mach., June, 2024

Using Decomposed Error for Reproducing Implicit Understanding of Algorithms.
Evol. Comput., 2024

2023
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.
CoRR, 2023

2022
Standardization and Data Augmentation in Genetic Programming.
IEEE Trans. Evol. Comput., 2022

Initialisation and grammar design in grammar-guided evolutionary computation.
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.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Towards Explainable AutoML Using Error Decomposition.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2020
Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition.
IEEE Trans. Evol. Comput., 2020

Feature standardisation and coefficient optimisation for effective symbolic regression.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2018
Evolving bagging ensembles using a spatially-structured niching method.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Measuring Language Complexity Using Word Embeddings.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Feature Standardisation in Symbolic Regression.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Stability of Word Embeddings Using Word2Vec.
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".
Genet. Program. Evolvable Mach., 2017

On the mapping of genotype to phenotype in evolutionary algorithms.
Genet. Program. Evolvable Mach., 2017

Interval Arithmetic and Interval-Aware Operators for Genetic Programming.
CoRR, 2017

Revisiting interval arithmetic for regression problems in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Sensitivity-like analysis for feature selection in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2015
Examining the "Best of Both Worlds" of Grammatical Evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Re-Examination of the Use of Genetic Programming on the Oral Bioavailability Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation.
Proceedings of the Genetic Programming - 18th European Conference, 2015

2014
Bloat and Generalisation in Symbolic Regression.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Model representation and cooperative coevolution for finite-state machine evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
An effective parse tree representation for tartarus.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A true finite-state baseline for tartarus.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Structured Populations and the Maintenance of Sex.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure.
Proceedings of the Genetic Programming - 16th European Conference, 2013

2012
Niche allocation in spatially-structured evolutionary algorithms with gradients.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Weighted local sharing and local clearing for multimodal optimisation.
Soft Comput., 2011

2010
Implicitly Controlling Bloat in Genetic Programming.
IEEE Trans. Evol. Comput., 2010

Automatic identification of the niche radius using spatially-structured clearing methods.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

The utility of scale factor adaptation in differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008
Spatially-Structured Sharing Technique for Multimodal Problems.
J. Comput. Sci. Technol., 2008

Evolutionary dynamics for the spatial Moran process.
Genet. Program. Evolvable Mach., 2008

A Weighted Local Sharing Technique for Multimodal Optimisation.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2006
Evolutionary Dynamics on Graphs: The Moran Process.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Multimodal Optimisation with Structured Populations and Local Environments.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Spatially-Structured Evolutionary Algorithms and Sharing: Do They Mix?
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

2005
The behaviour of genetic drift in a spatially-structured evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
On Evolving Fixed Pattern Strategies for Iterated Prisoner's Dilemma.
Proceedings of the Computer Science 2004, 2004

2003
Feature Selection of Intrusion Detection Data using a Hybrid Genetic Algorithm/KNN Approach.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

The Spatially-Dispersed Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2003

Weighted feature extraction using a genetic algorithm for intrusion detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

The spatially-dispersed genetic algorithm: an explicit spatial population structure for GAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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