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.
- ISBN10 6613452572
- ISBN13 9786613452573
- Publish Date 1 January 2012 (first published 14 November 2011)
- Publish Status Active
- Out of Print 4 September 2012
- Publish Country US
- Imprint Vieweg+teubner Verlag
- Format eBook
- Pages 401
- Language English