Genetic Programming Bibliography entries for Holger Claussen
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GP coauthors/coeditors:
David Fagan,
Michael Fenton,
David Lynch,
Stepan Kucera,
Michael O'Neill,
Erik Hemberg,
Lester T W Ho,
Imran Ashraf,
Davide Cherubini,
Takfarinas Saber,
Genetic Programming Articles by Holger Claussen
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Takfarinas Saber and David Fagan and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks.
Genetic Programming and Evolvable Machines, 20(2):245-283, 2019.
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David Lynch and Michael Fenton and David Fagan and Stepan Kucera and Holger Claussen and Michael O'Neill.
Automated Self-Optimization in Heterogeneous Wireless Communications Networks.
IEEE/ACM Transactions on Networking, 27(1):419-432, 2019.
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Michael Fenton and David Lynch and David Fagan and Stepan Kucera and Holger Claussen and Michael O'Neill.
Towards Automation \& Augmentation of the Design of Schedulers for Cellular Communications Networks.
Evolutionary Computation, 27(2) 2019.
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Michael Fenton and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming.
IEEE Transactions on Cybernetics, 47(9):2938-2950, 2017.
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Erik Hemberg and Lester Ho and Michael O'Neill and Holger Claussen.
A comparison of grammatical genetic programming grammars for controlling femtocell network coverage.
Genetic Programming and Evolvable Machines, 14(1):65-93, 2013.
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Genetic Programming conference papers by Holger Claussen
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Takfarinas Saber and David Lynch and David Fagan and Stepan Kucera and Holger Claussen and Michael O'Neill.
Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. In
Yaochu Jin editor,
2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24240, internet, 2020. IEEE Press.
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David Lynch and Takfarinas Saber and Stepan Kucera and Holger Claussen and Michael O'Neill.
Evolutionary Learning of Link Allocation Algorithms for 5G Heterogeneous Wireless Communications Networks. In
Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1258-1265, Prague, Czech Republic, 2019. ACM.
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Takfarinas Saber and David Fagan and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
A Hierarchical Approach to Grammar-Guided Genetic Programming: The case of Scheduling in Heterogeneous Networks. In
David Fagan and Carlos Martin-Vide and Michael O'Neill and Miguel A. Vega-Rodriguez editors,
7th International Conference Theory and Practice of Natural Computing, TPNC 2018, volume 11324, Dublin, Ireland, 2018. Springer.
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Takfarinas Saber and David Fagan and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. In
Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors,
EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 118-134, Parma, Italy, 2018. Springer Verlag.
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David Lynch and David Fagan and Stepan Kucera and Holger Claussen and Michael O'Neill.
Managing Quality of Service through Intelligent Scheduling in Heterogeneous Wireless Communications Networks. In
Marley Vellasco editor,
2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE.
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Michael Fenton and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming. In
Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 3-4, Berlin, Germany, 2017. ACM.
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David Fagan and Michael Fenton and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. In
2017 International Joint Conference on Neural Networks (IJCNN), pages 775-782, 2017. IEEE Press.
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Michael Fenton and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming. In
Giovanni Squillero and Paolo Burelli editors,
19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, volume 9597, pages 219-234, Porto, Portugal, 2016. Springer.
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David Lynch and Michael Fenton and Stepan Kucera and Holger Claussen and Michael O'Neill.
Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks. In
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 '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 949-956, Denver, USA, 2016. ACM.
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David Lynch and Michael Fenton and Stepan Kucera and Holger Claussen and Michael O'Neill.
Scheduling in Heterogeneous Networks using Grammar-based Genetic Programming. In
Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors,
EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 83-98, Porto, Portugal, 2016. Springer Verlag.
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Michael Fenton and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill.
Load Balancing in Heterogeneous Networks using Grammatical Evolution. In
Yadahiko Murata editor,
Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 70-76, Sendai, Japan, 2015. IEEE Press.
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Lester Ho and Holger Claussen and Davide Cherubini.
Online Evolution of Femtocell Coverage Algorithms Using Genetic Programming. In
24th IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC 2013), pages 3033-3038, London, UK, 2013.
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Erik Hemberg and Lester Ho and Michael O'Neill and Holger Claussen.
Evolving Femtocell Algorithms with Dynamic \& Stationary Training Scenarios. In
Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone editors,
Parallel Problem Solving from Nature, PPSN XII (part 2), volume 7492, pages 518-527, Taormina, Italy, 2012. Springer.
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Erik Hemberg and Lester Ho and Michael O'Neill and Holger Claussen.
A symbolic regression approach to manage femtocell coverage using grammatical genetic programming. In
Steven Gustafson and Ekaterina Vladislavleva editors,
3rd symbolic regression and modeling workshop for GECCO 2011, pages 639-646, Dublin, Ireland, 2011. ACM.
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Lester T. W. Ho and Imran Ashraf and Holger Claussen.
Evolving femtocell coverage optimization algorithms using genetic programming. In
IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, pages 2132-2136, 2009.
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Genetic Programming book chapters by Holger Claussen