Genetic Programming Bibliography entries for Ting Hu
up to index
Created by W.Langdon from
gp-bibliography.bib Revision:1.2031
GP coauthors/coeditors:
Christian Darabos,
Mario Giacobini,
Jason H Moore,
Wolfgang Banzhaf,
Simon Harding,
Joshua L Payne,
Genetic Programming Articles by Ting Hu
-
Ting Hu and Simon Harding and Wolfgang Banzhaf.
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm.
Genetic Programming and Evolvable Machines, 11(2):205-225, 2010.
details
Genetic Programming PhD doctoral thesis Ting Hu
-
Ting Hu.
Evolvability and Rate of Evolution in Evolutionary Computation. PhD thesis,
Department of Computer Science, Memorial University of Newfoundland, ST. John's, Newfoundland, Canada, 2010.
details
Genetic Programming conference papers by Ting Hu
-
Christian Darabos and Mario Giacobini and Ting Hu and Jason H. Moore.
L\'evy-flight GP: towards a new mutation paradigm. In
Mario Giacobini and Leonardo Vanneschi and William S. Bush editors,
10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, volume 7246, pages 38-49, Malaga, Spain, 2012. Springer Verlag.
details
-
Ting Hu and Joshua Payne and Jason Moore and Wolfgang Banzhaf.
Robustness, Evolvability, and Accessibility in Linear Genetic Programming. In
Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors,
Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 13-24, Turin, Italy, 2011. Springer Verlag.
details
-
Ting Hu and Wolfgang Banzhaf.
The Role of Population Size in Rate of Evolution in Genetic Programming. In
Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors,
Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 85-96, Tuebingen, 2009. Springer.
details
-
Ting Hu and Wolfgang Banzhaf.
Neutrality and variability: two sides of evolvability in linear genetic programming. In
Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors,
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 963-970, Montreal, 2009. ACM.
details
-
Ting Hu and Wolfgang Banzhaf.
Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks. 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 1337-1338, Atlanta, GA, USA, 2008. ACM.
details
-
Ting Hu and Wolfgang Banzhaf.
Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation. In
Gunter Rudolph and Thomas Jansen and Simon Lucas and Carlo Poloni and Nicola Beume editors,
Parallel Problem Solving from Nature - PPSN X, volume 5199, pages 448-457, Dortmund, 2008. Springer.
details
Genetic Programming technical reports by Ting Hu
-
Ting Hu and Wolfgang Banzhaf.
Evolvability and Acceleration in Evolutionary Computation. Technical report,
2008-04,
Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada A1B 3X5, 2008.
details