Genetic Programming Bibliography entries for Xianneng Li

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GP coauthors/coeditors: Bing Li, Shingo Mabu, Kotaro Hirasawa, Huiyu Zhou, Kaoru Shimada, Wen He, Guangfei Yang, Huiyan Yang, Meihua Yang, Shizhe Wu, Jianliang Wang, Lian Lian, Tieju Ma, Tao Sun,

Genetic Programming Articles by Xianneng Li

  1. Xianneng Li and Meihua Yang and Shizhe Wu. Niching genetic network programming with rule accumulation for decision making: An evolutionary rule-based approach. Expert Systems with Applications, 114:374-387, 2018. details

  2. Xianneng Li and Huiyan Yang and Meihua Yang. Revisiting Genetic Network Programming (GNP): Towards the Simplified Genetic Operators. IEEE Access, 6:43274-43289, 2018. details

  3. Guangfei Yang and Xianneng Li and Jianliang Wang and Lian Lian and Tieju Ma. Modeling oil production based on symbolic regression. Energy Policy, 82(Supplement C):48-61, 2015. details

  4. Guangfei Yang and Tao Sun and Jianliang Wang and Xianneng Li. Modeling the nexus between carbon dioxide emissions and economic growth. Energy Policy, 86:104-117, 2015. details

  5. Xianneng Li and Kotaro Hirasawa. Continuous probabilistic model building genetic network programming using reinforcement learning. Applied Soft Computing, 27(Supplement C):457-467, 2015. details

  6. Xianneng Li and Shingo Mabu and Kotaro Hirasawa. A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning. IEEE Transactions on Evolutionary Computation, 18(1):98-113, 2014. details

  7. Bing Li and Xianneng Li and Shingo Mabu and Kotaro Hirasawa. Evolving graph-based chromosome by means of variable size genetic network programming with binomial distribution. IEEJ Transactions on Electrical and Electronic Engineering, 8(4):348-356, 2013. details

  8. Xianneng Li and Shingo Mabu and Kotaro Hirasawa. An extended probabilistic model building genetic network programming using both of good and bad individuals. IEEJ Transactions on Electrical and Electronic Engineering, 8(4):339-347, 2013. details

  9. Xianneng Li and Shingo Mabu and Kotaro Hirasawa. Towards the maintenance of population diversity: A hybrid genetic network programming. Transaction of the Japanese Society for Evolutionary Computation, 1(1):89-101, 2010. details

Genetic Programming Books by Xianneng Li

Genetic Programming PhD doctoral thesis Xianneng Li

Genetic Programming conference papers by Xianneng Li

  1. Xianneng Li and Guangfei Yang and Kotaro Hirasawa. Evolving directed graphs with artificial bee colony algorithm. In 14th International Conference on Intelligent Systems Design and Applications, pages 89-94, 2014. details

  2. Xianneng Li and Wen He and Kotaro Hirasawa. Adaptive Genetic Network Programming. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1808-1815, Beijing, China, 2014. details

  3. Xianneng Li and Wen He and Kotaro Hirasawa. Learning and Evolution of Genetic Network Programming with Knowledge Transfer. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 798-805, Beijing, China, 2014. details

  4. Xianneng Li and Wen He and Kotaro Hirasawa. Creating Stock Trading Rules Using Graph-Based Estimation of Distribution Algorithm. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 731-738, Beijing, China, 2014. details

  5. Xianneng Li and Kotaro Hirasawa. A Learning Classifier System Based on Genetic Network Programming. In 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), pages 1323-1328, Manchester, 2013. IEEE. details

  6. Xianneng Li and Wen He and Kotaro Hirasawa. Genetic Network Programming with Simplified Genetic Operators. In Minho Lee and Akira Hirose and Zeng-Guang Hou and RheeMan Kil editors, International Conference on Neural Information Processing, ICONIP 2013, Part II, volume 8227, pages 51-58, Daegu, Korea, 2013. Springer. details

  7. Xianneng Li and Kotaro Hirasawa. Extended rule-based genetic network programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 155-156, Amsterdam, The Netherlands, 2013. ACM. details

  8. Xianneng Li and Bing Li and Shingo Mabu and Kotaro Hirasawa. A Continuous Estimation of Distribution Algorithm by Evolving Graph Structures Using Reinforcement Learning. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2097-2104, Brisbane, Australia, 2012. details

  9. Bing Li and Xianneng Li and Shingo Mabu and Kotaro Hirasawa. Towards Automatic Discovery and Reuse of Subroutines in Variable Size Genetic Network Programming. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 485-492, Brisbane, Australia, 2012. details

  10. Xianneng Li and Shingo Mabu and Kotaro Hirasawa. Use of infeasible individuals in probabilistic model building genetic network programming. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 601-608, Dublin, Ireland, 2011. ACM. details

  11. Bing Li and Xianneng Li and Shingo Mabu and Kotaro Hirasawa. Variable Size Genetic Network Programming with Binomial Distribution. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 973-980, New Orleans, USA, 2011. IEEE Press. details

  12. Xianneng Li and Bing Li and Shingo Mabu and Kotaro Hirasawa. A Novel Estimation of Distribution Algorithm Using Graph-based Chromosome Representation and Reinforcement Learning. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 37-44, New Orleans, USA, 2011. IEEE Press. details

  13. Xianneng Li and Shingo Mabu and Huiyu Zhou and Kaoru Shimada and Kotaro Hirasawa. Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  14. Xianneng Li and Shingo Mabu and Huiyu Zhou and Kaoru Shimada and Kotaro Hirasawa. Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction. In ICCAS-SICE, 2009, pages 3457-3462, Fukuoka, 2009. IEEE. details