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Authors: Olympia N. Roeva 1 ; Kalin Kosev 2 and Tanya V. Trenkova 3

Affiliations: 1 Bulgarian Academy of Sciences, Bulgaria ; 2 Centre of Biomedical Engineering, Bulgaria ; 3 Institute of Water Problems - BAS, Bulgaria

Keyword(s): Multi-population Genetic Algorithm, Modification, Mutation, Identification, Cultivation Process.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: In this work a modified multi-population genetic algorithm (MPGA) without the performance of the mutation operator is proposed. The idea is to reduce the convergence time and therefore to increase the identification procedure effectiveness for on-line application of the algorithm. Modified MPGA, classical multipopulation GA and two other modifications are tested for parameter identification problem of an E. coli non-linear fed-batch cultivation model. The contribution of each modification measure to the performance improvement is demonstrated. The obtained results show that the highest accuracy for parameter identification of the considered model is achieved with the multipopulation GA with Modification 1. The best calculation time is shown by the multipopulation GA without mutation.

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Paper citation in several formats:
N. Roeva, O.; Kosev, K. and V. Trenkova, T. (2010). A MODIFIED MULTI-POPULATION GENETIC ALGORITHM FOR PARAMETER IDENTIFICATION OF CULTIVATION PROCESS MODELS. In Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC; ISBN 978-989-8425-31-7, SciTePress, pages 348-351. DOI: 10.5220/0003080603480351

@conference{icec10,
author={Olympia {N. Roeva}. and Kalin Kosev. and Tanya {V. Trenkova}.},
title={A MODIFIED MULTI-POPULATION GENETIC ALGORITHM FOR PARAMETER IDENTIFICATION OF CULTIVATION PROCESS MODELS},
booktitle={Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC},
year={2010},
pages={348-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003080603480351},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC
TI - A MODIFIED MULTI-POPULATION GENETIC ALGORITHM FOR PARAMETER IDENTIFICATION OF CULTIVATION PROCESS MODELS
SN - 978-989-8425-31-7
AU - N. Roeva, O.
AU - Kosev, K.
AU - V. Trenkova, T.
PY - 2010
SP - 348
EP - 351
DO - 10.5220/0003080603480351
PB - SciTePress

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