Search space reduction approach in evolutionary algorithms: The case of high-dimensional portfolio replication problem

Yukiko Orito, Yoshiko Hanada. Search space reduction approach in evolutionary algorithms: The case of high-dimensional portfolio replication problem. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017. pages 554-559, IEEE, 2017. [doi]

@inproceedings{OritoH17,
  title = {Search space reduction approach in evolutionary algorithms: The case of high-dimensional portfolio replication problem},
  author = {Yukiko Orito and Yoshiko Hanada},
  year = {2017},
  doi = {10.1109/SMC.2017.8122664},
  url = {https://doi.org/10.1109/SMC.2017.8122664},
  researchr = {https://researchr.org/publication/OritoH17},
  cites = {0},
  citedby = {0},
  pages = {554-559},
  booktitle = {2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1645-1},
}