A Novel Metaheuristic Approach Inspired by Trees Social Relationships and Models for Fermentation Medium

Authors

  • Marzieh ‎ Lamtar Gholipoor Department of Chemical Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran‎.
  • Mahmoud Alimoradi Department of Computer Engineering, Shafagh Institute of Higher Education, Tonekabon, Iran. https://orcid.org/0000-0001-6167-439X
  • Soheil Fakheri Department of Computer Engineering and Information Technology, Lahijan Branch, Islamic Azad University, Lahijan, Iran. https://orcid.org/0000-0001-5751-6997

Keywords:

Trees social relationship algorithm, Neural network modeling, Fermentation process optimization, Empirical model building, Hybrid optimization approach

Abstract

The Trees Social Relationships (TSR) metaheuristic algorithm is employed to model and optimise a fermentation medium for producing the enzyme hydantoinase by Agrobacterium radiobacter. Leveraging experimental data from the literature, we developed two neural network models. The neural network models utilised the concentrations of four medium components as inputs and provided either hydantoinase or cell concentration as a single output. The TSR algorithm was then applied to optimise the input space of the neural network models, identifying the optimal settings for maximising enzyme and cell production. This approach showcases the effective integration of neural networks with the TSR algorithm, resulting in a robust process modeling and optimisation tool.           

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Published

2024-08-07

How to Cite

A Novel Metaheuristic Approach Inspired by Trees Social Relationships and Models for Fermentation Medium. (2024). Metaheuristic Algorithms With Applications, 1(1), 1-11. https://maa.reapress.com/journal/article/view/17