Genetic Programming Bibliography entries for Ke Tang

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8051

GP coauthors/coeditors: Grant Dick, Will N Browne, Peter Alexander Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, He Jiang, Justyna Petke, Mark Harman, Mingxu Wan, Thomas Weise, Pu Wang, Edward P K Tsang, Xin Yao, Michael Emmerich, Rui Li, Thomas Back, Alexandre Devert, Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana,

Genetic Programming Articles by Ke Tang

  1. He Jiang and Ke Tang and Justyna Petke and Mark Harman. Search Based Software Engineering. IEEE Computational Intelligence Magazine, 12(2):23 and 71, 2017. Guest Editorial. details

  2. Jiaqi Zhao and Vitor Basto Fernandes and Licheng Jiao and Iryna Yevseyeva and Asep Maulana and Rui Li and Thomas Back and Ke Tang and Michael T. M. Emmerich. Multiobjective Optimization of Classifiers by Means of 3D Convex-Hull-Based Evolutionary Algorithms. Information Sciences, 367-368:80-104, 2016. details

  3. Pu Wang and Michael Emmerich and Rui Li and Ke Tang and Thomas Baeck and Xin Yao. Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Transactions on Evolutionary Computation, 19(2):188-200, 2015. details

  4. Thomas Weise and Mingxu Wan and Pu Wang and Ke Tang and Alexandre Devert and Xin Yao. Frequency Fitness Assignment. IEEE Transactions on Evolutionary Computation, 18(2):226-243, 2014. details

  5. Pu Wang and Ke Tang and Thomas Weise and E. P. K. Tsang and Xin Yao. Multiobjective genetic programming for maximizing ROC performance. Neurocomputing, 125:102-118, 2014. details

  6. Thomas Weise and Ke Tang. Evolving Distributed Algorithms with Genetic Programming. IEEE Transactions on Evolutionary Computation, 16(2):242-265, 2012. details

Genetic Programming Conference proceedings edited by Ke Tang

Genetic Programming conference papers by Ke Tang

  1. Thomas Weise and Mingxu Wan and Ke Tang and Xin Yao. Evolving Exact Integer Algorithms with Genetic Programming. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1816-1823, Beijing, China, 2014. details

  2. Thomas Weise and Alexandre Devert and Ke Tang. A developmental solution to (dynamic) capacitated arc routing problems using genetic programming. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 831-838, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  3. Mingxu Wan and Thomas Weise and Ke Tang. Novel Loop Structures and the Evolution of Mathematical Algorithms. 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 49-60, Turin, Italy, 2011. Springer Verlag. details

  4. Pu Wang and Ke Tang and Edward Tsang and Xin Yao. A Memetic Genetic Programming with Decision Tree-based Local Search for Classification Problems. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 916-923, New Orleans, USA, 2011. IEEE Press. details

  5. Pu Wang and Edward P. K. Tsang and Thomas Weise and Ke Tang and Xin Yao. Using GP to Evolve Decision Rules for Classification in Financial Data Sets. In Fuchun Sun and Yingxu Wang and Jianhua Lu and Bo Zhang and Witold Kinsner and Lotfi A. Zadeh editors, 9th IEEE International Conference on Cognitive Informatics (ICCI 2010), pages 722-727, Tsinghua University, Beijing, China, 2010. IEEE. Special Session on Evolutionary Computing. details

Genetic Programming other entries for Ke Tang