Genetic Programming Bibliography entries for Paul Kaufmann
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GP coauthors/coeditors:
Alexander Boschmann,
Marco Platzner,
Michael Winkler,
Kyrre Harald Glette,
Thiemo Gruber,
Jim Torresen,
Bernhard Sick,
Christopher Assad,
Michael T Wolf,
Nam Ho,
Abdullah Fathi Ahmed,
Christian Plessl,
Tobias Knieper,
Kevin Englehart,
Cong Shen,
Roman Tobias Kalkreuth,
Bertrand Defo,
Lukas Sekanina,
James Alfred Walker,
Martin Braun,
Leo Francoso Dal Piccol Sotto,
Timothy Atkinson,
Marcio Porto Basgalupp,
Markus Wagner,
Julia Handl,
Ryan J Urbanowicz,
Kuber Karthik,
Danilo Vasconcellos Vargas,
Silvino Fernandez Alzueta,
Pablo Valledor Pellicer,
Thomas Stuetzle,
John R Woodward,
Daniel R Tauritz,
Manuel Lopez-Ibanez,
Anne Auger,
Dimo Brockhoff,
Nikolaus Hansen,
Tea Tusar,
Dejan Tusar,
Stephane Doncieux,
Joshua E Auerbach,
Richard Duro,
Harold de Vladar,
Jose Santos Reyes,
Amarda Shehu,
Mostafa M Hashim Ellabaan,
Stefan Wagner,
Michael Affenzeller,
Frank Neumann,
Oliver Kramer,
P G M Baltus,
Giovanni Iacca,
M N Andraud,
Vanessa Volz,
Boris Naujoks,
Frank Moore,
Gunes Kayacik,
Nur Zincir-Heywood,
Anna Esparcia-Alcazar,
Westley Weimer,
Justyna Petke,
David Robert White,
William B Langdon,
Nadarajen Veerapen,
Fabio Daolio,
Arnaud Liefooghe,
Sebastien Verel,
Gabriela Ochoa,
Giovanni Squillero,
Alberto Tonda,
Stephen L Smith,
Stefano Cagnoni,
Robert M Patton,
John A W McCall,
Dirk Thierens,
William La Cava,
Randal Olson,
Patryk Orzechowski,
Ernesto Tarantino,
Ivanoe De Falco,
Antonio Della Cioppa,
Umberto Scafuri,
Nicolas Bredeche,
Evert Haasdijk,
Abraham Prieto,
Heiko Hamann,
Jared Moore,
Anthony Clark,
David Walker,
Richard Everson,
Jonathan E Fieldsend,
Bogdan Filipic,
Alma Rahat,
Handing Wang,
Yaochu Jin,
Julian F Miller,
Genetic Programming Articles by Paul Kaufmann
Genetic Programming Books by Paul Kaufmann
Genetic Programming Conference proceedings edited by Paul Kaufmann
Genetic Programming conference papers by Paul Kaufmann
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Leo Francoso D. P. Sotto and Paul Kaufmann and Timothy Atkinson and Roman Kalkreuth and Marcio Porto Basgalupp.
A Study on Graph Representations for Genetic Programming. 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 931-939, internet, 2020. Association for Computing Machinery.
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Paul Kaufmann and Roman Kalkreuth.
On the Parameterization of Cartesian Genetic Programming. In
Yaochu Jin editor,
2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24558, internet, 2020. IEEE Press.
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Paul Kaufmann and Roman Kalkreuth.
Parametrizing Cartesian Genetic Programming: An Empirical Study. In
Gabriele Kern-Isberner and Johannes Fuernkranz and Matthias Thimm editors,
KI 2017: Advances in Artificial Intelligence - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, Proceedings, volume 10505, pages 316-322, 2017. Springer.
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Paul Kaufmann and Roman Kalkreuth.
An Empirical Study on the Parametrization of Cartesian Genetic Programming. In
Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 231-232, Berlin, Germany, 2017. ACM.
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Paul Kaufmann and Cong Shen.
Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing. 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 Terrence 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 Keswsentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 409-416, Madrid, Spain, 2015. ACM.
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Nam Ho and Abdullah Fathi Ahmed and Paul Kaufmann and Marco Platzner.
Microarchitectural Optimization by Means of Reconfigurable and Evolvable Cache Mappings. In
Giovanni Beltrame editor,
2015 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), Montreal, Quebec, Canada, 2015. IEEE.
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Cong Shen and Paul Kaufmann and Martin Braun.
A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm. In
Power Systems Computation Conference (PSCC 2014), Wroclaw, Poland, 2014. IEEE.
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Cong Shen and Paul Kaufmann and Martin Braun.
Optimizing the Generator Start-up Sequence After a Power System Blackout. In
2014 IEEE PES General Meeting | Conference Exposition, 2014.
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Nam Ho and Paul Kaufmann and Marco Platzner.
Towards Self-Adaptive Caches: a Run-Time Reconfigurable Multi-Core Infrastructure. In
International Conference on Evolvable Systems, ICES 2014, pages 31-37, 2014. IEEE.
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Kyrre Glette and Paul Kaufmann.
Lookup Table Partial Reconfiguration for an Evolvable Hardware Classifier System. In
Carlos A. Coello Coello editor,
Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1706-1713, Beijing, China, 2014.
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Kyrre Glette and Paul Kaufmann and Christopher Assad and Michael T. Wolf.
Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface. In
International Conference on Evolvable Systems (ICES 2013), pages 73-80, 2013. IEEE.
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Tobias Knieper and Paul Kaufmann and Kyrre Glette and Marco Platzner and Jim Torresen.
Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture. In
G. Tempesti and A. M. Tyrrell and J. F. Miller editors,
Evolvable Systems: From Biology to Hardware: 9th International Conference, ICES 2010, volume 6274, pages 250-261, York, UK, 2010. Springer.
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Paul Kaufmann and Kevin Englehart and Marco Platzner.
Fluctuating EMG Signals: Investigating Long-term Effects of Pattern Matching Algorithms. In
32nd Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC 2010), pages 6357-6360, Buenos Aires, Argentina, 2010. IEEE.
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Paul Kaufmann and Tobias Knieper and Marco Platzner.
A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers. In
IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press.
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Paul Kaufmann and Christian Plessl and Marco Platzner.
EvoCaches: Application-specific Adaptation of Cache Mappings. In
2009 NASA/ESA Conference on Adaptive Hardware and Systems, pages 11-18, 2009. IEEE.
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Alexander Boschmann and Paul Kaufmann and Marco Platzner and Michael Winkler.
Towards Multi-movement Hand Prostheses: Combining Adaptive Classification with High Precision Sockets. In
Technically Assisted Rehabilitation (TAR), Berlin, Germany, 2009.
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Tobias Knieper and Bertrand Defo and Paul Kaufmann and Marco Platzner.
On Robust Evolution of Digital Hardware. In
Mike Hinchey and Anastasia Pagnoni and Franz J. Rammig and Hartmut Schmeck editors,
Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, volume 268, pages 213-222, Milan, Italy, 2008. Springer.
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Kyrre Glette and Jim Torresen and Paul Kaufmann and Marco Platzner.
A Comparison of Evolvable Hardware Architectures for Classification Tasks. In
Gregory S. Hornby and Lukas Sekanina and Pauline C. Haddow editors,
8th International Conference on Evolvable Systems: From Biology to Hardware: ICES 2008, volume 5216, pages 22-33, Prague, Czech Republic, 2008. Springer.
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Kyrre Glette and Thiemo Gruber and Paul Kaufmann and Jim Torresen and Bernhard Sick and Marco Platzner.
Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control. In
2008 NASA/ESA Conference on Adaptive Hardware and Systems, pages 32-39, 2008. IEEE.
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Paul Kaufmann and Marco Platzner.
Advanced techniques for the creation and propagation of modules in cartesian genetic programming. In
Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors,
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1219-1226, Atlanta, GA, USA, 2008. ACM.
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Paul Kaufmann and Marco Platzner.
Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution. In
Paul Lukowicz and Lothar Thiele and Gerhard Troester editors,
20th International Conference on Architecture of Computing Systems (ARCS 2007), volume 4415, pages 199-208, Zurich, Switzerland, 2007. Springer.
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Paul Kaufmann and Marco Platzner.
MOVES: A Modular Framework for Hardware Evolution. In
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), pages 447-454, Edinburgh, UK, 2007. IEEE.
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Paul Kaufmann and Marco Platzner.
Multi-objective Intrinsic Hardware Evolution. In
Richard Katz editor,
Intl. Conf. Military Applications of Programmable Logic Devices (MAPLD), page Submission 210, Washington, D.C, USA, 2006.
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Genetic Programming book chapters by Paul Kaufmann
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Paul Kaufmann and Marco Platzner.
Combining Local and Global Search: A Multi-objective Evolutionary Algorithm for Cartesian Genetic Programming. In
Susan Stepney and Andrew Adamatzky editors,
Inspired by Nature: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday, volume 28 of Emergence, Complexity and Computation, chapter 8, pages 175-194. Springer, 2017.
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Paul Kaufmann.
Multikriterielle Evolution adaptiver eingebetteter Systeme. In
Steffen Hoelldobler and others editors,
Ausgezeichnete Informatikdissertationen 2013, volume D-14 of GI-Edition - Lecture Notes in Informatics (LNI), pages 71-80. German Informatics Society, 2014.
This book presents outstanding dissertations in informatics of the year 2013..
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James Alfred Walker and Julian F. Miller and Paul Kaufmann and Marco Platzner.
Problem Decomposition in Cartesian Genetic Programming. In
Julian F. Miller editor,
Cartesian Genetic Programming, chapter 3, pages 35-99. Springer, 2011.
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Lukas Sekanina and James Alfred Walker and Paul Kaufmann and Marco Platzner.
Evolution of Electronic Circuits. In
Julian F. Miller editor,
Cartesian Genetic Programming, chapter 5, pages 125-179. Springer, 2011.
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Paul Kaufmann and Marco Platzner.
Multi-objective Intrinsic Evolution of Embedded Systems. In
Christian Mueller-Schloer and Hartmut Schmeck and Theo Ungerer editors,
Organic Computing --- A Paradigm Shift for Complex Systems, volume 1 of Autonomic Systems, chapter 2.5, pages 193-206. Springer, 2011.
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