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

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 6

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.

Authors and Affiliations

Julian Scott Yeomans

Keywords

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  • EP ID EP264742
  • DOI 10.14738/tmlai.56.3727
  • Views 101
  • Downloads 0

How To Cite

Julian Scott Yeomans (2017). A Metaheuristic Procedure for Calculating Optimal Osmotic Dehydration Parameters: A Case Study of Mushrooms. Transactions on Machine Learning and Artificial Intelligence, 5(6), 1-10. https://europub.co.uk/articles/-A-264742