A Metaheuristic Procedure for Calculating Optimal Osmotic Dehydration Parameters: A Case Study of Mushrooms

Authors

  • Julian Scott Yeomans

DOI:

https://doi.org/10.14738/tmlai.56.3727

Keywords:

Biologically-inspired Metaheuristics, Mushrooms, Non-linear Goal Programming, Process Parameter Optimization, Osmotic Dehydration

Abstract

The Firefly Algorithm (FA) metaheuristic is employed to determine the optimal parameter settings in a case study of the osmotic dehydration of mushrooms. In the case, the functional form of the dehydration model is established through a response surface technique and the resulting mathematical programming is formulated as a non-linear goal programming model. For optimization purposes, a computationally efficient, FA-driven method is used and the resulting optimal process parameters are shown to be superior to those from previous approaches.

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Published

2017-11-06

How to Cite

Yeomans, J. S. (2017). A Metaheuristic Procedure for Calculating Optimal Osmotic Dehydration Parameters: A Case Study of Mushrooms. Transactions on Machine Learning and Artificial Intelligence, 5(6), 01. https://doi.org/10.14738/tmlai.56.3727