@inproceedings{6bf79962f86c46eab74292b7bfaf1310,
title = "BBOB: Nelder-Mead with Resize and Halfruns",
abstract = "Using the BBOB template, we investigate how the Nelder-Mead simplex algorithm can be combined with evolutionary ideas to give a competitive hybrid approach to optimize continuous functions. We significantly improve the performance of the algorithm in higher dimension by the addition of a reshaping step of the search, to correct for a known problem in the simplex search behaviour. We also give a reasonably good population-based approach in which only a third of the individuals is fully matured, with a bias towards fitter individuals, via a variant of the Nelder-Mead method.",
keywords = "benchmarking, black-box optimization, evolutionary computation",
author = "Benjamin Doerr and Mahmoud Fouz and Martin Schmidt and Magnus Wahlstrom",
note = "Publisher Copyright: {\textcopyright} 2009 ACM.; 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 ; Conference date: 08-07-2009 Through 12-07-2009",
year = "2009",
month = jan,
day = "1",
doi = "10.1145/1570256.1570312",
language = "English",
isbn = "9781605583259",
series = "Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009",
publisher = "Association for Computing Machinery",
pages = "2239--2245",
booktitle = "Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009",
}