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Automatic Algorithm Selection for Complex Simulation Problems

  • Authors
  • Roland Ewald

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Introduction

    1. Roland Ewald
      Pages 1-15
  3. Background

    1. Front Matter
      Pages 17-17
    2. Roland Ewald
      Pages 19-91
    3. Roland Ewald
      Pages 93-115
  4. Methods and Implementation

    1. Front Matter
      Pages 117-117
    2. Roland Ewald
      Pages 153-175
    3. Roland Ewald
      Pages 177-201
    4. Roland Ewald
      Pages 203-246
  5. Examples and Conclusion

    1. Front Matter
      Pages 271-271
    2. Roland Ewald
      Pages 273-301
    3. Roland Ewald
      Pages 321-333
  6. Back Matter
    Pages 335-382

About this book

Introduction

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.

Keywords

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Bibliographic information

  • DOI https://doi.org/10.1007/978-3-8348-8151-9
  • Copyright Information Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2012
  • Publisher Name Vieweg+Teubner Verlag
  • eBook Packages Computer Science
  • Print ISBN 978-3-8348-1542-2
  • Online ISBN 978-3-8348-8151-9
  • Buy this book on publisher's site