@inproceedings{e17f54f4f9c746899705026e6cb898a8,
title = "Invariance, self-adapt{\^a}t ion and correlated mutations in evolution strategies",
abstract = "A conceptual objective behind the self-adaptation of the mutation distribution is to achieve invariance against certain transformations of the search space. In this paper, a priori invariances of a simple evolution strategy and invariances, which can be introduced by self-adaptation, are identified. In principle, correlated mutations can achieve invariance against any linear transformation of the search space. Correlated mutations, as typically implemented, are investigated with respect to both a priori and new invariances. Simulations reveal that neither all a priori invariances are retained, nor the invariance against linear transformation is achieved.",
author = "Nikolaus Hansen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 6th International Conference on Parallel Problem Solving from Nature, PPSN 2000 ; Conference date: 18-09-2000 Through 20-09-2000",
year = "2000",
month = jan,
day = "1",
doi = "10.1007/3-540-45356-3\_35",
language = "English",
isbn = "9783540410560",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "356--364",
editor = "Marc Schoenauer and Kalyanmoy Deb and Gunther Rudolph and Hans-Paul Schwefel and Xin Yao and Evelyne Lutton and Merelo, \{Juan Julian\}",
booktitle = "Parallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings",
}