Genetic Programming Bibliography entries for Ting Hu

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GP coauthors/coeditors: Christian Darabos, Mario Giacobini, Jason H Moore, Wolfgang Banzhaf, Simon Harding, Joshua L Payne, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guangju Zhai, Marco Tomassini, Lukas Sekanina, Krzysztof Krawiec, Alberto Moraglio, A Sima Etaner-Uyar, Bin Hu, Nuno Lourenco, Yu Zhang2, Xiaodong Liang, Mohammad Zawad Ali, Md Nasmus Sakib Khan Shabbir,

Genetic Programming Articles by Ting Hu

  1. Ting Hu and Lukas Sekanina. EuroGP 2019 Panel Discussion: What is the Killer Application of GP?. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 12(2):3-7, 2019. Forthcoming. details

  2. Ting Hu and Wolfgang Banzhaf and Jason H. Moore. The effects of recombination on phenotypic exploration and robustness in evolution. Artificial Life, 20(4):457-470, 2014. Ten thousandth GP entry in the genetic programming bibliography. details

  3. Ting Hu and Joshua Payne and Wolfgang Banzhaf and Jason Moore. Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. Genetic Programming and Evolvable Machines, 13(3):305-337, 2012. Special issue on selected papers from the 2011 European conference on genetic programming. details

  4. Ting Hu and Wolfgang Banzhaf. Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology. Journal of Artificial Evolution and Applications, 2010:Article ID 568375, 2010. Review Article. details

  5. 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

Genetic Programming Conference proceedings edited by Ting Hu

Genetic Programming conference papers by Ting Hu

  1. Yu Zhang2 and Ting Hu and Xiaodong Liang and Mohammad Zawad Ali and Md Nasmus Sakib Khan Shabbir. Fault Detection and Classification for Induction Motors using Genetic Programming. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 178-193, Leipzig, Germany, 2019. Springer Verlag. details

  2. Ting Hu. Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  3. Ting Hu and Marco Tomassini and Wolfgang Banzhaf. Complex Network Analysis of a Genetic Programming Phenotype Network. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 49-63, Leipzig, Germany, 2019. Springer Verlag. details

  4. Ting Hu and Karoliina Oksanen and Weidong Zhang and Edward Randell and Andrew Furey and Guangju Zhai. Analyzing Feature Importance for Metabolomics using Genetic Programming. 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 68-83, Parma, Italy, 2018. Springer Verlag. details

  5. Karoliina Oksanen and Ting Hu. Lexicase selection promotes effective search and behavioural diversity of solutions in Linear Genetic Programming. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 169-176, Donostia, San Sebastian, Spain, 2017. IEEE. details

  6. Ting Hu and Wolfgang Banzhaf. Neutrality, Robustness, and Evolvability in Genetic Programming. In Rick Riolo and Bill Worzel and Brian Goldman and Bill Tozier editors, Genetic Programming Theory and Practice XIV, pages 101-117, Ann Arbor, USA, 2016. Springer. details

  7. Ting Hu and Wolfgang Banzhaf. Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 733-740, Denver, USA, 2016. ACM. Nominated for best paper. details

  8. Ting Hu and Wolfgang Banzhaf and Jason Moore. Population Exploration on Genotype Networks in Genetic Programming. In Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith editors, 13th International Conference on Parallel Problem Solving from Nature, volume 8672, pages 424-333, Ljubljana, Slovenia, 2014. Springer. details

  9. Ting Hu and Wolfgang Banzhaf and Jason H. Moore. Robustness and Evolvability of Recombination in Linear Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 97-108, Vienna, Austria, 2013. Springer Verlag. details

  10. Christian Darabos and Mario Giacobini and Ting Hu and Jason H. Moore. Levy-Flight Genetic Programming: 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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 book chapters by Ting Hu

Genetic Programming technical reports by Ting Hu