<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

Pubblicato online: 18 giu 2019

Pagine: 104 - 116

Ricevuto: 09 nov 2018

Accettato: 15 apr 2019

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

Parole chiave
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

Pubblicato online: 18 giu 2019

Pagine: 104 - 116

Ricevuto: 09 nov 2018

Accettato: 15 apr 2019

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

Parole chiaveGenetic 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.

Parole chiave
Genetic algorithm, fuzzy logic, PHB production, optimization