Genetic Programming Bibliography entries for Jason Zutty
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gp-bibliography.bib Revision:1.8051
GP coauthors/coeditors:
Clint Morris,
Michael Jurado,
Daniel Long,
Heyward Adams,
Gisele Bennett,
Christina Baxter,
Gregory Rohling,
Genetic Programming PhD doctoral thesis Jason Zutty
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Jason Paul Zutty.
Automated machine learning: A biologically inspired approach. PhD thesis,
School of Electrical and Computer Engineering, Georgia Institute of Technology, USA, 2018.
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Genetic Programming conference papers by Jason Zutty
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Clint Morris and Michael Jurado and Jason Zutty.
LLM Guided Evolution - The Automation of Models Advancing Models. In
Jean-Baptiste Mouret and Kai Qin and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 377-384, Melbourne, Australia, 2024. Association for Computing Machinery.
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Jason Zutty and Daniel Long and Gregory Rohling.
Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework. In
Francisco Chicano and Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors,
GECCO 2016 Late-Breaking Abstracts, pages 1477-1478, Denver, USA, 2016. ACM.
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Jason Zutty and Daniel Long and Heyward Adams and Gisele Bennett and Christina Baxter.
Multiple Objective Vector-Based Genetic Programming Using Human-Derived Primitives. 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 1127-1134, Madrid, Spain, 2015. ACM.
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