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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Analysis Of Different Search Metrics Used In Multi-Agent-Based

Identification Environment

Authors:

Sebastian Bohlmann, Arne Klauke, Volkhard Klinger,

Helena Szczerbicka

Published in:

 

(2012).ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European Council for Modeling and Simulation. doi:10.7148/2012 

 

ISBN: 978-0-9564944-4-3

 

26th European Conference on Modelling and Simulation,

Shaping reality through simulation

Koblenz, Germany, May 29 – June 1 2012

 

Citation format:

Bohlmann, S., Klauke, A., Klinger, V., & Szczerbicka, H. (2012). Analysis Of Different Search Metrics Used In Multi-Agent-Based Identification Environment. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 332-338). European Council for Modeling and Simulation. doi:10.7148/2012-0332-0338

DOI:

http://dx.doi.org/10.7148/2012-0332-0338

Abstract:

Process data-based system identification is one great challenge in technical process modelling and simula- tion. In this paper we continue our former work presented in [1], [3] and concentrate on the analysis and evaluation of both the data preprocessing and different search metrics used in the multi-agent-based optimization algorithm. This analysis helps to review and benchmark the impact on different preprocessing steps as well as the influence of the selected search metrics. Based on this evaluation we are able to verify the correct and target-oriented identification procedure.

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