Genetic Algorithms vs. Knowledge-Based Control of PHB Production-Reference-Cited by-同舟云学术

Genetic Algorithms vs. Knowledge-Based Control of PHB Production

Published:2019-06-01 Issue:2 Volume:19 Page:104-116
ISSN:1314-4081
Container-title:Cybernetics and Information Technologies
language:en
Short-container-title:

Author:

Olteanu Marius¹,Paraschiv Nicolae¹,Koprinkova-Hristova Petia²

Affiliation:

1. Petroleum-Gas University of Ploiesti , Ploiesti , Romania

2. Institute of Information and Communication Technologies , Bulgarian Academy of Sciences , 1113 Sofia , Bulgaria

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/cait-2019-0018

Reference39 articles.

1. 1. Bansal, N., P. Kaur. A Novel Approach to Fuzzy Model Identification Based on Bat Algorithm. – International Journal of Applied Metaheuristic Computing, Vol. 10, 2019, No 2, pp. 93-108.

2. 2. Driankov, D., H. Hellendoorn, M. Reinfrank. An Introduction to Fuzzy Control. – Berlin, Heidelberg, Springer-Verlag, 1993.

3. 3. Dumitrescu, D. Algoritmi Genetici si Strategii Evolutive – Aplicatii in Inteligenta Artificiala Siin Domenii Conexe. Cluj-Napoca, Editura Albastra, 2006.

4. 4. Elbaz, K., S.-L. Shen, A. Zhou, D.-J. Yuan, Y.-S. Xu. Optimization of EPB Shield Performance with Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm. – Applied Sciences, Switzerland, Vol. 9, 2019, No 4, Art. No 780.

5. 5. Espanola, J. L., A. A. Bandala, R. R. P. Vicerra, E. P. Dadios. Design of a Fuzzy-Genetic Controller for an Articulated Robot Gripper. – In: IEEE Region 10 Annual International Conference, Proceedings/TENCON, October 2018, Art. No 8650431, 2019, pp. 1701-1706.

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