Michael Hellwig, Hans-Georg Beyer. Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES. In Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter, editors, Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Volume 9921 of Lecture Notes in Computer Science, pages 26-36, Springer, 2016. [doi]
@inproceedings{HellwigB16-0,
title = {Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES},
author = {Michael Hellwig and Hans-Georg Beyer},
year = {2016},
doi = {10.1007/978-3-319-45823-6_3},
url = {http://dx.doi.org/10.1007/978-3-319-45823-6_3},
researchr = {https://researchr.org/publication/HellwigB16-0},
cites = {0},
citedby = {0},
pages = {26-36},
booktitle = {Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings},
editor = {Julia Handl and Emma Hart and Peter R. Lewis and Manuel López-Ibáñez and Gabriela Ochoa and Ben Paechter},
volume = {9921},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-45822-9},
}