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  • 标题:Genetic Algorithms vs. Knowledge-Based Control of PHB Production
  • 本地全文:下载
  • 作者:Marius Olteanu ; Nicolae Paraschiv ; Petia Koprinkova-Hristova
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2019
  • 卷号:19
  • 期号:2
  • 页码:104-116
  • DOI:10.2478/cait-2019-0018
  • 出版社:Bulgarian Academy of Science
  • 摘要: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.
  • 关键词:Genetic algorithm; fuzzy logic; PHB production; optimization.
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