Genetic Algorithms vs. Knowledge-Based Control of PHB Production

Marius Olteanu; Nicolae Paraschiv; Petia Koprinkova-Hristova

doi:10.2478/cait-2019-0018

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Genetic Algorithms vs. Knowledge-Based Control of PHB Production

Cybernetics and Information Technologies

Volume 19 (2019): Issue 2 (June 2019)

By: Marius Olteanu, Nicolae Paraschiv and Petia Koprinkova-Hristova

Open Access

|Jun 2019

Abstract

The paper proposes an approach using Genetic Algorithm (GA) for development of optimal time profiles of key control variable of Poly-HydroxyButyrate (PHB) production process. Previous work on modeling and simulation of PHB process showed that it is a highly nonlinear process that needs special controllers based on human experience, as such fuzzy logic controller proved to be a good choice. Fuzzy controllers are not totally replaced, due to the specific process knowledge that they contain. The achieved results are compared with previously proposed knowledge-based approach to the same optimal control task.

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Articles in this issue

DOI: https://doi.org/10.2478/cait-2019-0018 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 104 - 116

Submitted on: Nov 9, 2018

Accepted on: Apr 15, 2019

Published on: Jun 18, 2019

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

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© 2019 Marius Olteanu, Nicolae Paraschiv, Petia Koprinkova-Hristova, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 19 (2019): Issue 2 (June 2019)