Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables

Aidan Wallace, Alexander E. I. Brownlee, David E. Cairns. Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables. In Max Bramer, Richard Ellis, editors, Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings. Volume 13101 of Lecture Notes in Computer Science, pages 58-72, Springer, 2021. [doi]

@inproceedings{WallaceBC21,
  title = {Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables},
  author = {Aidan Wallace and Alexander E. I. Brownlee and David E. Cairns},
  year = {2021},
  doi = {10.1007/978-3-030-91100-3_5},
  url = {https://doi.org/10.1007/978-3-030-91100-3_5},
  researchr = {https://researchr.org/publication/WallaceBC21},
  cites = {0},
  citedby = {0},
  pages = {58-72},
  booktitle = {Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings},
  editor = {Max Bramer and Richard Ellis},
  volume = {13101},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-91100-3},
}