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Journal Articles
- 2024
[j10]Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Using Decomposed Error for Reproducing Implicit Understanding of Algorithms. Evol. Comput. 32(1): 49-68 (2024)- [j9]Grant Dick:
An ensemble learning interpretation of geometric semantic genetic programming. Genet. Program. Evolvable Mach. 25(1): 9 (2024) - 2022
- [j8]Caitlin A. Owen
, Grant Dick, Peter A. Whigham:
Standardization and Data Augmentation in Genetic Programming. IEEE Trans. Evol. Comput. 26(6): 1596-1608 (2022) - 2020
- [j7]Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition. IEEE Trans. Evol. Comput. 24(6): 1164-1176 (2020) - 2017
- [j6]Peter A. Whigham, Grant Dick, James MacLaurin:
On the mapping of genotype to phenotype in evolutionary algorithms. Genet. Program. Evolvable Mach. 18(3): 353-361 (2017) - [j5]Peter A. Whigham, Grant Dick, James MacLaurin:
Just because it works: a response to comments on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms". Genet. Program. Evolvable Mach. 18(3): 399-405 (2017) - 2011
- [j4]Grant Dick, Peter A. Whigham:
Weighted local sharing and local clearing for multimodal optimisation. Soft Comput. 15(9): 1707-1721 (2011) - 2010
- [j3]Peter A. Whigham, Grant Dick:
Implicitly Controlling Bloat in Genetic Programming. IEEE Trans. Evol. Comput. 14(2): 173-190 (2010) - 2008
- [j2]Peter A. Whigham, Grant Dick:
Evolutionary dynamics for the spatial Moran process. Genet. Program. Evolvable Mach. 9(2): 157-170 (2008) - [j1]Grant Dick, Peter A. Whigham:
Spatially-Structured Sharing Technique for Multimodal Problems. J. Comput. Sci. Technol. 23(1): 64-76 (2008)
Conference and Workshop Papers
- 2024
- [c34]Grant Dick, Caitlin A. Owen:
Characterising the Double Descent of Symbolic Regression. GECCO Companion 2024: 2050-2057 - 2022
- [c33]Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Towards Explainable AutoML Using Error Decomposition. AI 2022: 177-190 - [c32]Grant Dick, Peter A. Whigham:
Initialisation and grammar design in grammar-guided evolutionary computation. GECCO Companion 2022: 534-537 - [c31]Grant Dick:
Genetic programming, standardisation, and stochastic gradient descent revisited: initial findings on SRBench. GECCO Companion 2022: 2265-2273 - 2020
- [c30]Grant Dick, Caitlin A. Owen, Peter A. Whigham:
Feature standardisation and coefficient optimisation for effective symbolic regression. GECCO 2020: 306-314 - 2018
- [c29]Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Feature Standardisation in Symbolic Regression. Australasian Conference on Artificial Intelligence 2018: 565-576 - [c28]Mansi Chugh, Peter A. Whigham, Grant Dick:
Stability of Word Embeddings Using Word2Vec. Australasian Conference on Artificial Intelligence 2018: 812-818 - [c27]Peter A. Whigham, Mansi Chugh, Grant Dick:
Measuring Language Complexity Using Word Embeddings. Australasian Conference on Artificial Intelligence 2018: 843-854 - [c26]Grant Dick, Caitlin A. Owen, Peter A. Whigham:
Evolving bagging ensembles using a spatially-structured niching method. GECCO 2018: 418-425 - 2017
- [c25]Grant Dick:
Revisiting interval arithmetic for regression problems in genetic programming. GECCO (Companion) 2017: 129-130 - [c24]Grant Dick:
Sensitivity-like analysis for feature selection in genetic programming. GECCO 2017: 401-408 - 2015
- [c23]Grant Dick:
Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation. EuroGP 2015: 28-40 - [c22]Grant Dick, Aysha P. Rimoni, Peter A. Whigham:
A Re-Examination of the Use of Genetic Programming on the Oral Bioavailability Problem. GECCO 2015: 1015-1022 - [c21]Peter A. Whigham, Grant Dick, James MacLaurin, Caitlin A. Owen:
Examining the "Best of Both Worlds" of Grammatical Evolution. GECCO 2015: 1111-1118 - 2014
- [c20]Grant Dick, Xin Yao:
Model representation and cooperative coevolution for finite-state machine evolution. IEEE Congress on Evolutionary Computation 2014: 2700-2707 - [c19]Grant Dick:
Bloat and Generalisation in Symbolic Regression. SEAL 2014: 491-502 - 2013
- [c18]Grant Dick, Peter A. Whigham:
Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure. EuroGP 2013: 13-24 - [c17]Peter A. Whigham, Grant Dick, Alden H. Wright, Hamish G. Spencer:
Structured Populations and the Maintenance of Sex. EvoBIO 2013: 56-67 - [c16]Grant Dick:
A true finite-state baseline for tartarus. GECCO 2013: 183-190 - [c15]Grant Dick:
An effective parse tree representation for tartarus. GECCO 2013: 909-916 - 2012
- [c14]Grant Dick:
Niche allocation in spatially-structured evolutionary algorithms with gradients. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2010
- [c13]Grant Dick:
The utility of scale factor adaptation in differential evolution. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c12]Grant Dick:
Automatic identification of the niche radius using spatially-structured clearing methods. IEEE Congress on Evolutionary Computation 2010: 1-8 - 2008
- [c11]Peter A. Whigham, Grant Dick:
Exploring the use of ancestry as a unified network model of finite population evolution. IEEE Congress on Evolutionary Computation 2008: 3734-3740 - [c10]Grant Dick, Peter A. Whigham:
A Weighted Local Sharing Technique for Multimodal Optimisation. SEAL 2008: 452-461 - 2006
- [c9]Peter A. Whigham, Grant Dick:
Evolutionary Dynamics on Graphs: The Moran Process. SEAL 2006: 1-8 - [c8]Grant Dick, Peter A. Whigham:
Spatially-Structured Evolutionary Algorithms and Sharing: Do They Mix? SEAL 2006: 457-464 - [c7]Grant Dick, Peter A. Whigham:
Multimodal Optimisation with Structured Populations and Local Environments. SEAL 2006: 505-512 - 2005
- [c6]Grant Dick, Peter A. Whigham:
The behaviour of genetic drift in a spatially-structured evolutionary algorithm. Congress on Evolutionary Computation 2005: 1855-1860 - 2004
- [c5]Daniel Jang, Peter A. Whigham, Grant Dick:
On Evolving Fixed Pattern Strategies for Iterated Prisoner's Dilemma. ACSC 2004: 241-247 - 2003
- [c4]Melanie Middlemiss, Grant Dick:
Weighted feature extraction using a genetic algorithm for intrusion detection. IEEE Congress on Evolutionary Computation 2003: 1669-1675 - [c3]Grant Dick:
The spatially-dispersed genetic algorithm: an explicit spatial population structure for GAs. IEEE Congress on Evolutionary Computation 2003: 2455-2461 - [c2]Grant Dick:
The Spatially-Dispersed Genetic Algorithm. GECCO 2003: 1572-1573 - [c1]Melanie Middlemiss, Grant Dick:
Feature Selection of Intrusion Detection Data using a Hybrid Genetic Algorithm/KNN Approach. HIS 2003: 519-527
Editorship
- 2014
- [e1]Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang:
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings. Lecture Notes in Computer Science 8886, Springer 2014, ISBN 978-3-319-13562-5 [contents]
Informal and Other Publications
- 2023
- [i3]Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, C. S. Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, H. Zhang, Grant Dick, A. Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava:
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. CoRR abs/2304.01117 (2023) - 2022
- [i2]Grant Dick, Peter A. Whigham:
Initialisation and Grammar Design in Grammar-Guided Evolutionary Computation. CoRR abs/2204.07410 (2022) - 2017
- [i1]Grant Dick:
Interval Arithmetic and Interval-Aware Operators for Genetic Programming. CoRR abs/1704.04998 (2017)
Coauthor Index
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last updated on 2024-08-23 18:35 CEST by the dblp team
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