Genetic Programming Bibliography entries for Cem M Baydar
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GP coauthors/coeditors:
Kazuhiro Saitou,
Tina Yu,
Lawrence David Davis,
Rajkumar Roy,
Genetic Programming Articles by Cem M Baydar
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Cem Baydar and Kazuhiro Saitou.
Off-line error prediction, diagnosis and recovery using virtual assembly systems.
Journal of Intelligent Manufacturing, 15(5):679-692, 2004.
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Cem M. Baydar and Kazuhiro Saitou.
Automated generation of robust error recovery logic in assembly systems using genetic programming.
Journal of Manufacturing Systems, 20(1):55-68, 2001.
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Genetic Programming Books by Cem M Baydar
Genetic Programming PhD doctoral thesis Cem M Baydar
Genetic Programming conference papers by Cem M Baydar
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Cem M. Baydar and Kazuhiro Saitou.
Off-line error prediction, diagnosis and recovery using virtual assembly systems. In
Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2001, volume 1, pages 818-823, Seoul, Korea, 2001. IEEE.
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Cem M. Baydar and Kazuhiro Saitou.
Off-Line Error Recovery Logic Synthesis in Automated Assembly Lines by using Genetic Programming. In
Steven Y. Liang and Tatsuo Arai editors,
Proceedings Of The 2000 Japan/USA Symposium On Flexible Automation, Ann Arbor, MI, USA, 2000.
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Cem M Baydar and Kazuhiro Saitou.
Generation of Robust Recovery Logic in Assembly Systems using Multi-Level Optimization and Genetic Programming. In
Proceedings of DETC-00 ASME 2000 Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Baltimore, Maryland, USA, 2000.
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Kazuhiro Saitou and Cem M. Baydar.
A Genetic Programming Framework for Error Recovery in Robotic Assembly Systems. In
Darrell Whitley editor,
Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 346-351, Las Vegas, Nevada, USA, 2000.
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Cem M. Baydar and Kazuhiro Saitou.
A Genetic Programming Framework for Error Recovery in Robotic Assembly Systems. In
Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors,
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), page 756, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann.
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