@inproceedings{4141366d8b254036a847b3feae677d58,
title = "Adaptive encoding: How to render search coordinate system invariant",
abstract = "This paper describes a method for rendering search coordinate system independent, Adaptive Encoding. Adaptive Encoding is applicable to any iterative search algorithm and employs incremental changes of the representation of solutions. One attractive way to change the representation in the continuous domain is derived from Covariance Matrix Adaptation (CMA). In this case, adaptive encoding recovers the CMA evolution strategy, when applied to an evolution strategy with cumulative step-size control. Consequently, adaptive encoding provides the means to apply CMA-like representation changes to any search algorithm in the continuous domain. Experimental results confirm the expectation that CMAbased adaptive encoding will generally speed up a typical evolutionary algorithm on non-separable, ill-conditioned problems by orders of magnitude.",
author = "Nikolaus Hansen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2008.; 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008 ; Conference date: 13-09-2008 Through 17-09-2008",
year = "2008",
month = jan,
day = "1",
doi = "10.1007/978-3-540-87700-4\_21",
language = "English",
isbn = "3540876995",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "205--214",
editor = "G{\"u}nter Rudolph and Thomas Jansen and Nicola Beume and Simon Lucas and Carlo Poloni",
booktitle = "Parallel Problem Solving from Nature - PPSN X - 10th International Conference, Proceedings",
}