<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Genetic Algorithms vs. Knowledge-Based Control of PHB Production

Institute of Information and Communication Technologies

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Genetic Algorithms vs. Knowledge-Based Control of PHB Production"}

The paper proposes an approach using Genetic Algorithm (GA) for development of optimal time profiles of key control variable of Poly-HydroxyButyrate (PHB)...

Genetic Algorithms vs. Knowledge-Based Control of PHB Production

Published Online: Jun 18, 2019

Page range: 104 - 116

Received: Nov 09, 2018

Accepted: Apr 15, 2019

DOI: https://doi.org/10.2478/cait-2019-0018

Keywords
Genetic algorithm, fuzzy logic, PHB production, optimization

© 2019 Marius Olteanu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Genetic Algorithms vs. Knowledge-Based Control of PHB Production

Published Online: Jun 18, 2019

Page range: 104 - 116

Received: Nov 09, 2018

Accepted: Apr 15, 2019

DOI: https://doi.org/10.2478/cait-2019-0018

KeywordsGenetic algorithm, fuzzy logic, PHB production, optimization

© 2019 Marius Olteanu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Genetic algorithm, fuzzy logic, PHB production, optimization