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Authors: Ivan Ryzhikov and Christina Brester

Affiliation: Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk and Russia

ISBN: 978-989-758-384-1

ISSN: 2184-2825

Keyword(s): Dynamical System, Restart, Heuristics, Meta-heuristics, Parameter Identification, Evolutionary Algorithm, Bio-inspired Algorithms.

Abstract: In this study, the parameter identification problem for linear dynamical systems is considered. The system is assumed to be represented as a linear differential equation in general form, so the right-hand side equation contains input function and its derivatives. This problem statement extends the order reduction problem, where we need to find the equation of the lower order to approximate the real system output observations. Considered problem is reduced to an optimization one. The reduced problem is complex, and we propose the combination of stochastic optimization algorithm and restart operator. This operator aim is to prevent the algorithm stagnation by starting the search over again if no remarkable solution improvement is detected or if algorithm searches in the area where stagnation had been detected.

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Paper citation in several formats:
Ryzhikov, I. and Brester, C. (2019). Restart Operator for Optimization Heuristics in Solving Linear Dynamical System Parameter Identification Problem.In Proceedings of the 11th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2019) ISBN 978-989-758-384-1, ISSN 2184-2825, pages 252-258. DOI: 10.5220/0008495302520258

@conference{ecta19,
author={Ivan Ryzhikov. and Christina Brester.},
title={Restart Operator for Optimization Heuristics in Solving Linear Dynamical System Parameter Identification Problem},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2019)},
year={2019},
pages={252-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008495302520258},
isbn={978-989-758-384-1},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2019)
TI - Restart Operator for Optimization Heuristics in Solving Linear Dynamical System Parameter Identification Problem
SN - 978-989-758-384-1
AU - Ryzhikov, I.
AU - Brester, C.
PY - 2019
SP - 252
EP - 258
DO - 10.5220/0008495302520258

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