Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms

Thilo Mahnig, Heinz Mühlenbein. Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms. In Kathleen Steinhöfel, editor, Stochastic Algorithms: Foundations and Applications, International Symposium, SAGA 2001 Berlin, Germany, December 13-14, 2001, Proceedings. Volume 2264 of Lecture Notes in Computer Science, pages 33-48, Springer, 2001. [doi]

@inproceedings{MahnigM01,
  title = {Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms},
  author = {Thilo Mahnig and Heinz Mühlenbein},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2264/22640033.htm},
  researchr = {https://researchr.org/publication/MahnigM01},
  cites = {0},
  citedby = {0},
  pages = {33-48},
  booktitle = {Stochastic Algorithms: Foundations and Applications, International Symposium, SAGA 2001 Berlin, Germany, December 13-14, 2001, Proceedings},
  editor = {Kathleen Steinhöfel},
  volume = {2264},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-43025-3},
}