Genetic Programming Bibliography entries for Grant Dick
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GP coauthors/coeditors:
Fabricio Olivetti de Franca,
Marco Virgolin,
Michael Kommenda,
Maimuna Majumder,
Miles Cranmer,
Guilherme Jorge Nunes Monteiro Espada,
Leon Ingelse,
Alcides Fonseca,
Mikel Landajuela,
Brenden Kyle Petersen,
Ruben Glatt,
T Nathan Mundhenk,
Chak Shing Lee,
Jacob Dean Hochhalter,
David L Randall,
Pierre-Alexandre Kamienny,
Hengzhe Zhang,
Alessandro Simon,
Bogdan Burlacu,
Jaan Kasak,
Meera Machado,
Casper Wilstrup,
William La Cava,
Peter Alexander Whigham,
Xin Yao,
Will N Browne,
Mengjie Zhang,
Lam Thu Bui,
Hisao Ishibuchi,
Yaochu Jin,
Xiaodong Li,
Yuhui Shi,
Pramod Singh,
Kay Chen Tan,
Ke Tang,
Aysha Rimoni,
Caitlin A Owen,
James Maclaurin,
Genetic Programming Articles by Grant Dick
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Grant Dick.
An ensemble learning interpretation of geometric semantic genetic programming.
Genetic Programming and Evolvable Machines, 25:Article no 9, 2024.
Online first.
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Caitlin A. Owen and Grant Dick and Peter A. Whigham.
Standardisation and Data Augmentation in Genetic Programming.
IEEE Transactions on Evolutionary Computation, 26(6):1596-1608, 2022.
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Caitlin A. Owen and Grant Dick and Peter A. Whigham.
Characterising Genetic Programming Error Through Extended Bias and Variance Decomposition.
IEEE Transactions on Evolutionary Computation, 24(6):1164-1176, 2020.
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Peter A. Whigham and Grant Dick and James Maclaurin.
Just because it works: a response to comments on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms''.
Genetic Programming and Evolvable Machines, 18(3):399-405, 2017.
Special Peer Commentary on Mapping of Genotype to Phenotype in Evolutionary Algorithms.
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Peter A. Whigham and Grant Dick and James Maclaurin.
On the mapping of genotype to phenotype in evolutionary algorithms.
Genetic Programming and Evolvable Machines, 18(3):353-361, 2017.
Special Peer Commentary on Mapping of Genotype to Phenotype in Evolutionary Algorithms.
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Peter A. Whigham and Grant Dick.
Implicitly Controlling Bloat in Genetic Programming.
IEEE Transactions on Evolutionary Computation, 14(2):173-190, 2010.
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F. O. de Franca and M. Virgolin and M. Kommenda and M. S. Majumder and M. Cranmer and G. Espada and L. Ingelse and A. Fonseca and M. Landajuela and B. Petersen and R. Glatt and N. Mundhenk and C. S. Lee and J. D. Hochhalter and D. L. Randall and P. Kamienny and H. Zhang and G. Dick and A. Simon and B. Burlacu and Jaan Kasak and Meera Machado and Casper Wilstrup and W. G. La Cava.
SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation.
IEEE Transactions on Evolutionary Computation.
Early Access.
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Caitlin A. Owen and Grant Dick and Peter A. Whigham.
Using Decomposed Error for Reproducing Implicit Understanding of Algorithms.
Evolutionary Computation.
Forthcoming.
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Genetic Programming Conference proceedings edited by Grant Dick
Genetic Programming conference papers by Grant Dick
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Grant Dick and Caitlin Owen.
Characterising the Double Descent of Symbolic Regression. In
William La Cava and Steven Gustafson editors,
Symbolic Regression, pages 2050-2057, Melbourne, Australia, 2024. Association for Computing Machinery.
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Grant Dick.
Genetic Programming, Standardisation, and Stochastic Gradient Descent Revisited: Initial Findings on SRBench. In
Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors,
Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 2265-2273, Boston, USA, 2022. Association for Computing Machinery.
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Grant Dick and Caitlin A. Owen and Peter A. Whigham.
Feature Standardisation and Coefficient Optimisation for Effective Symbolic Regression. In
Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors,
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 306-314, internet, 2020. Association for Computing Machinery.
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Grant Dick.
Revisiting Interval Arithmetic for Regression Problems in Genetic Programming. In
Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 129-130, Berlin, Germany, 2017. ACM.
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Grant Dick.
Sensitivity-like Analysis for Feature Selection in Genetic Programming. In
Proceedings of the Genetic and Evolutionary Computation Conference, pages 401-408, Berlin, Germany, 2017. ACM.
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Peter A. Whigham and Grant Dick and James Maclaurin and Caitlin A. Owen.
Examining the "Best of Both Worlds" of Grammatical Evolution. In
Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1111-1118, Madrid, Spain, 2015. ACM.
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Grant Dick and Aysha P. Rimoni and Peter A. Whigham.
A Re-Examination of the Use of Genetic Programming on the Oral Bioavailability Problem. In
Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1015-1022, Madrid, Spain, 2015. ACM.
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Grant Dick.
Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation. In
Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors,
18th European Conference on Genetic Programming, volume 9025, pages 28-40, Copenhagen, 2015. Springer.
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Grant Dick and Xin Yao.
Model Representation and Cooperative Coevolution for Finite-State Machine Evolution. In
Carlos A. Coello Coello editor,
Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 2700-2707, Beijing, China, 2014.
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Grant Dick and Peter A. Whigham.
Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure. In
Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors,
Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 13-24, Vienna, Austria, 2013. Springer Verlag.
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Grant Dick.
An effective parse tree representation for tartarus. In
Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors,
GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 909-916, Amsterdam, The Netherlands, 2013. ACM.
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Peter A. Whigham and G. Dick.
GP and Bloat: Absorbing boundaries and spatial structures. In
The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen editors,
Proceedings of the Third Asian-Pacific workshop on Genetic Programming, pages 1-12, Military Technical Academy, Hanoi, VietNam, 2006.
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Peter A. Whigham and Grant Dick.
Fixation of Neutral Alleles in Spatially Structured Populations via Genetic Drift: Describing the spatial structure of faster-than-panmictic configurations. In
P. A. Whigham editor,
The 17th Annual Colloquium of the Spatial Information Research Centre SIRC 2005, pages 81-90, University of Otago, Dunedin, New Zealand, 2005.
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Genetic Programming other entries for Grant Dick