Automatic Algorithm Selection for Complex Simulation Problems / by Roland Ewald.

Format:

Book

Author/Creator:

Ewald, Roland, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Computer science.

Computer Science, general.

Local Subjects:

Computer Science, general.

Physical Description:

1 online resource (XXI, 382 pages) : 101 illustrations, 20 illustrations in color

Edition:

First edition 2012.

Contained In:

Springer eBooks

Place of Publication:

Wiesbaden : Vieweg+Teubner Verlag : Imprint: Vieweg+Teubner Verlag, 2012.

System Details:

text file PDF

Summary:

To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods.

Other Format:

Printed edition:

ISBN:

978-3-8348-8151-9

9783834881519

Access Restriction:

Restricted for use by site license.