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Genetic Programming Bibliography maintained by W. B. Langdon

 

Complete Publication List

Book | Journal |International Conference | Domestic Conference | Others

Books

  1. X. Li, Study on Probabilistic Model Building Genetic Network Programming, ISBN 978-4-657-13515-5, Waseda University Press, 2013. [link]

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Journal Papers

  1. X. Li and K. Hirasawa, "Continuous Probabilistic Model Building Genetic Network Programming Using Reinforcement Learning," Applied Soft Computing, Vol. 27, pp. 457-467, 2015.
  2. X. Li, S. Mabu, and K. Hirasawa, "A Novel Graph-Based Estimation of Distribution Algorithm and Its Extension Using Reinforcement Learning," IEEE Trans. on Evolutionary Computation (IEEE TEVC), Vol. 18, No. 1, pp. 98-113, 2014.
  3. X. Li, S. Mabu, and K. Hirasawa, "An extended Probabilistic model building genetic network programming using both of good and bad individuals," IEEJ Trans. on Electrical and Electronic Engineering (IEEJ TEEE), Vol. 8, No. 4, pp. 339-347, 2013.
  4. B. Li, X. Li, S. Mabu, and K. Hirasawa, "Evolving Graph-based Chromosome by means of Variable Size Genetic Network Programming with Binomial Distribution," IEEJ Trans. on Electrical and Electronic , Vol. 8, No. 4, pp. 348-356, 2013.
  5. X. Li, S. Mabu, B. Li, and K. Hirasawa, "Probabilistic Model Building Genetic Network Programming Using Reinforcement Learning," Trans. Japanese Society for Evol. Comput. Vol. 2, No. 1, pp. 29-40, 2011.
  6. X. Li, S. Mabu, H. Zhou, K. Shimada, and K. Hirasawa, "Analysis of various interestingness measures in class association rule mining," SICE Journal of Control, Measurement, and System Integration (SICE JCMSI). Vol. 4, No. 4, pp. 295-304, 2011.
  7. X. Li, S. Mabu, and K. Hirasawa, "Towards the maintenance of population diversity: A hybrid probabilistic model building genetic network programming," Trans. Japanese Society for Evol. Comput. Vol. 1, No. 1, pp. 89-101, 2010.
  8. X. Li, S. Mabu, H. Zhou, K. Shimada, and K. Hirasawa, "Genetic Network Programming with Estimation of Distribution Algorithms for Class Association Rule Mining in Traffic Prediction," J. Advanced Computational Intelligence and Intelligent Informatics. Vol. 14, No. 5, pp. 497-509, 2010.

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International Conference Papers

  1. X. Li, G. Yang, and K. Hirasawa, "Evolving Directed Graphs with Artificial Bee Colony Algorithm," In Proc. 14th International Conference on Intelligent Systems Design and Applications (ISDA 2014), pp. 89-94, Okinawa, Japan, 2014,11.
  2. X. Li, W. He, and K. Hirasawa, "Generalized Classifier System: Evolving Classifiers with Cyclic Conditions," In Proc. IEEE Congress on Evolutionary Computation (CEC 2014), pp. 1682-1689, Beijing, China, 2014,7.
  3. X. Li, W. He, and K. Hirasawa, "Learning and Evolution of Genetic Network Programming with Knowledge Transfer," In Proc. IEEE Congress on Evolutionary Computation (CEC 2014), pp. 798-805, Beijing, China, 2014,7.
  4. X. Li, W. He, and K. Hirasawa, "Creating Stock Trading Rules Using Graph-Based Estimation of Distribution Algorithm," In Proc. IEEE Congress on Evolutionary Computation (CEC 2014), pp. 731-738, Beijing, China, 2014,7.
  5. X. Li, W. He, and K. Hirasawa, "Adaptive Genetic Network Programming," In Proc. IEEE Congress on Evolutionary Computation (CEC 2014), pp. 1808-1815, Beijing, China, 2014,7.
  6. X. Li, W. He, and K. Hirasawa, "Genetic Network Programming with Simplified Genetic Operators," In Proc. International Conference on Neural Information Processing (ICONIP 2013), pp. 51-58, Daegu, Korea, 2013,11.
  7. X. Li and K. Hirasawa, "A Learning Classifier System Using Genetic Network Programming," In Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), pp. 1323-1328, Manchester, UK, 2013,10.
  8. X. Li and K. Hirasawa, "Extended rule-based genetic network programming," In Proc. ACM Genetic and Evolutionary Computation Conference Companion (GECCO 2013), pp. 155-156, Amsterdam, The Netherlands, 2013,7.
  9. X. Li, B. Li, S. Mabu, and K. Hirasawa, "A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning," In Proc. IEEE Congress on Evolutionary Computation (CEC 2012), pp. 2097-2104, Brisbane, Australia, 2012,6.
  10. B. Li, X. Li, S. Mabu, and K. Hirasawa, "Towards automatic discovery and reuse of subroutines in variable size genetic network programming," In Proc. IEEE Congress on Evolutionary Computation (CEC 2012), pp. 485-492, Brisbane, Australia, 2012,6.
  11. B. Li, X. Li, S. Mabu, and K. Hirasawa, "Analysis of crossover rate in variable size genetic network programming with binomial distribution," In Proc. SICE Annual Conference (SICE 2011), pp. 155-160, Tokyo, Japan, 2011,9.
  12. X. Li, S. Mabu, and K. Hirasawa, "Use of infeasible individuals in probabilistic model building genetic network programming," In Proc. ACM Genetic and Evolutionary Computation Conference (GECCO 2011), pp. 601-608, Dublin, Ireland, 2011, 7.
  13. X. Li, B. Li, S. Mabu, and Kotaro Hirasawa, "A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning," In Proc. IEEE Congress on Evolutionary Computation (CEC 2011), pp. 37-44, New Orleans, USA, 2011, 6.
  14. B. Li, X. Li, S. Mabu, and Kotaro Hirasawa, "Variable size genetic network programming with binomial distribution," In Proc. IEEE Congress on Evolutionary Computation (CEC 2011), pp. 972-979, New Orleans, USA, 2011, 6.
  15. X. Li, S. Mabu, M. K. Mainali, and K. Hirasawa, "Probabilistic model building genetic network programming using multiple probability vectors," In Proc. IEEE TENCON International Conference (TENCON 2010), pp. 1398-1403, Fukuoka, Japan, 2010, 11.
  16. M. K. Mainali, S. Mabu, X. Li, and K. Hirasawa, "Optimal route planning with restrictions for car navigation systems," In Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), pp. 393-397, Istanbul, Turkey, 2010, 10.
  17. X. Li, S. Mabu, H. Zhou, K. Shimada, and K. Hirasawa, "Analysis of various interestingness measures in classification rule mining for traffic prediction," In Proc. SICE International Annual Conference (SICE 2010), pp. 1969-1974, Taipei, Taiwan, 2010, 8.
  18. Y. Zhang, X. Li, Y. Yang, S. Mabu, Y. Jin, and K. Hirasawa, "Functionally distributed systems using parallel genetic network programming," In Proc. SICE International Annual Conference (SICE 2010), pp. 2626-2630, Taipei, Taiwan, 2010, 8.
  19. X. Li, S. Mabu, H. Zhou, K. Shimada, and Kotaro Hirasawa, "Genetic network programming with estimation of distribution algorithms for class association rule mining in traffic prediction," In Proc. IEEE Congress on Evolutionary Computation (CEC 2010), pp. 2673-2680, Barcelona, Spain, 2010, 7.
  20. H. Zhou, S. Mabu, X. Li, K. Shimada, and K. Hirasawa, "Generalized rule extraction and traffic prediction in the optimal route search," In Proc. IEEE Congress on Evolutionary Computation (CEC 2010), pp. 2625-2632, Barcelona, Spain, 2010, 7.
  21. X. Li, S. Mabu, H. Zhou, K. Shimada, and K. Hirasawa, "Genetic network programming with estimation of distribution algorithms and its application to association rule mining for traffic prediction," In Proc. ICROS-SICE International Joint Conference, pp. 3457-3462, Fukuoka, Japan, 2009, 8.
  22. H. Zhou, S. Mabu, M. K. Mainali, X. Li, K. Shimada, and K. Hirasawa, "Generalized association rule mining with multi-branches full-paths and its application to traffic volume prediction," In Proc. ICROS-SICE International Joint Conference, pp. 147-152, Fukuoka, Japan, 2009, 8.

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Domestic Conference Papers

  1. X. Li, K. Hirasawa, and S. Mabu, "強化学習を用いた確率モデルに基づく遺伝的ネットワークプログラミング," In Proc. 進化計算シンポジウム, Nagano, Japan, 2012, 12.
  2. X. Li, H. Zhou, S. Mabu, K. Shimada, and K. Hirasawa, "Classifier for traffic prediction using genetic network programming with estimation of distribution algorithms," In Proc. SICE Symposium on System Information (SICE SSI 2009), pp. 286-291, Yokohama, Japan, 2009, 11.

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Other Presentations/Talks

  1. X. Li, "A Graph-based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Applications," Hitachi Research Laboratory (HRL), Hitachi, Japan, 2012,7.
  2. X. Li, "Integration of Estimation of Distribution Algorithm and Reinforcement Learning," 5th IPS International Collaboration Symposium, Kitakyushu, Japan, 2011,11.
  3. X. Li, "Diversity maintenance in the graph chromosome-based probabilistic model building evolutionary algorithm," Waseda University Ambient Global COE Young Researchers Workshop, Kitakyushu, Japan, 2010,12.

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