Abstract
In this chapter the theoretical framework will be defined in which the analysis of the ES will be conducted in the following chapters. In particular, the progress measures will be defined here, which can be used in the evaluation of the optimization performance of an EA (i.e. not only ES). These measures describe the local and microscopic behavior of an EA. The macroscopic behavior (i.e. the dynamics of ES) is handled in Sect. 2.4. The calculation of the progress measures requires the selection of appropriate fitness landscapes, which can be used as the models of the real landscapes. Sect. 2.2 is devoted to this topic. The differential-geometric model — which can be used for the approximation of the local (differentiable) fitness landscapes — is introduced in Sect. 2.3.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Beyer, HG. (2001). Concepts for the Analysis of the ES. In: The Theory of Evolution Strategies. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04378-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-662-04378-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08670-0
Online ISBN: 978-3-662-04378-3
eBook Packages: Springer Book Archive