Genetic Programming Bibliography entries for Andrew R McIntyre
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GP coauthors/coeditors:
J P C Bonson,
Malcolm Heywood,
John Doucette,
Peter Lichodzijewski,
Sara Khanchi,
Nur Zincir-Heywood,
Ali Vahdat,
Aaron Atwater,
Jillian Morgan,
Garnett Carl Wilson,
Genetic Programming Articles by Andrew R McIntyre
Genetic Programming PhD doctoral thesis Andrew R McIntyre
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Andrew R. McIntyre.
Novelty Detection + Coevolution = Automatic Problem Decomposition: A Framework for Scalable Genetic Programming Classifiers. PhD thesis,
Dalhousie University, Halifax, Nova Scotia, Canada, 2007.
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Genetic Programming conference papers by Andrew R McIntyre
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J. P. C. Bonson and A. R. McIntyre and M. I. Heywood.
On novelty driven evolution in Poker. In
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016.
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Ali Vahdat and Jillian Morgan and Andrew R. McIntyre and Malcolm I. Heywood and A. Nur Zincir-Heywood.
Tapped Delay Lines for GP Streaming Data Classification with Label Budgets. 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 126-138, Copenhagen, 2015. Springer.
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Ali Vahdat and Aaron Atwater and Andrew R. McIntyre and Malcolm I. Heywood.
On the application of GP to streaming data classification tasks with label budgets. In
Jaume Bacardit and Ignacio Arnaldo and Kalyan Veeramachaneni and Una-May O'Reilly editors,
GECCO 2014 Workshop on Evolutionary Computation for Big Data and Big Learning, pages 1287-1294, Vancouver, BC, Canada, 2014. ACM.
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Sara Rahimi and Andrew R. McIntyre and Malcolm I. Heywood and Nur Zincir-Heywood.
Label free change detection on streaming data with cooperative multi-objective genetic programming. In
Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors,
GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 159-160, Amsterdam, The Netherlands, 2013. ACM.
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Andrew R. McIntyre and Malcolm I. Heywood.
Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. In
Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors,
Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 289-300, Naples, 2008. Springer.
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A. R. McIntyre and M. I. Heywood.
Multi-Objective Competitive Coevolution for Efficient GP Classifier Problem Decomposition. In
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pages 1930-1937, Montreal, 2007. IEEE Press.
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Andrew McIntyre and Malcolm Heywood.
MOGE: GP classification problem decomposition using multi-objective optimization. In
Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors,
GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 863-870, Seattle, Washington, USA, 2006. ACM Press.
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A. R. McIntyre and M. I. Heywood.
Toward Co-Evolutionary Training of a Multi-Class Classifier. In
David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors,
Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 3, pages 2130-2137, Edinburgh, UK, 2005. IEEE Press.
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A. R. McIntyre and M. I. Heywood.
On Multi-class Classification by Way of Niching. In
Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors,
Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 581-592, Seattle, WA, USA, 2004. Springer-Verlag.
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A. R. McIntyre and M. I. Heywood.
A Grammatical Evolution Multi-Classifier through Crowding. In
Bart Rylander editor,
Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 219-226, Chicago, USA, 2003.
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Genetic Programming book chapters by Andrew R McIntyre