Adaptive Grammar-Based Genetic Programming with Dependence Learning (基於文法及依存關係學習的適應性遺傳編程法)

Research output

Research output per year 2013 2013 2014 2015 2021

• 6 Conference paper (refereed)
• 4 Journal Article (refereed)
• 2 Book Chapter

Research output per year

Research output per year

Search results

• 2016

  Hierarchical knowledge in self-improving Grammar-Based Genetic Programming

  WONG, P.-K., WONG, M. L. & LEUNG, K.-S., 1 Jan 2016, Parallel Problem Solving from Nature: PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Springer, p. 270-280 11 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

  • Genetic Programming 100%
  • Deep Learning 60%
  • Case Study 20%
  • Optimal Solution 20%
  • Search Algorithm 20%
  6 Citations (Scopus)
• 2015

  Exploiting modularity and hierarchical modularity to infer large causal gene regulatory network

  LO, L. Y., WONG, M. L., LEE, K. H. & LEUNG, K. S., 1 Jan 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015. Institute of Electrical and Electronics Engineers Inc.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

  • Networks 100%
  • Subnetwork 42%
  • Modularity 28%
  • Algorithms 14%
  • Synthetic Data 14%
  1 Citation (Scopus)
• 2014

  Grammar-based genetic programming with Bayesian network

  WONG, P. K., LO, L. Y., WONG, M. L. & LEUNG, K. S., 22 Sept 2014, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., p. 739-746 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

  • Genetic Programming 100%
  • Bayesian Networks 60%
  • Programs 60%
  • Building-Blocks 20%
  • Syntactics 20%
  15 Citations (Scopus)

• Grammar-based genetic programming with dependence learning and Bayesian network classifier

  WONG, P. K., LO, L. Y., WONG, M. L. & LEUNG, K. S., 12 Jul 2014, GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 959-966 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

  • Genetic Programming 100%
  • Bayesian Networks 75%
  • Classification (Machine Learning) 75%
  • Search Space 50%
  • Classes 50%
  10 Citations (Scopus)
• 2013

  Applying ant colony optimization in configuring stacking ensemble

  CHEN, Y. & WONG, M. L., 23 Apr 2013, 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. Institute of Electrical and Electronics Engineers, p. 2111-2116 6 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

  • Ant Colony Optimisation 100%
  • Metaheuristics 66%
  • Classification (Machine Learning) 66%
  • Ensemble Method 66%
  • Benchmark 33%
  4 Citations (Scopus)

• Genetic algorithm for dimer-led and error-restricted spaced motif discovery

  CHAN, T. M., LO, L. Y., WONG, M. L., LIANG, Y. & LEUNG, K. S., 12 Sept 2013, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. Institute of Electrical and Electronics Engineers Inc., p. 198-205 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

  • Error 100%
  • Deoxyribonucleic Acid 50%
  • Genetic Algorithm 50%
  • Initialization 50%
  • Procedure 33%