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Application of bio-inspired optimization algorithms in food processing

Bio-inspired optimization techniques (BOT) are part of intelligent computing techniques. There are several BOTs available and many new BOTs are evolving in this era of industrial revolution 4.0. Genetic algorithm, particle swarm optimization, artificial bee colony, and grey wolf optimization are the...

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Autores principales: Sarkar, Tanmay, Salauddin, Molla, Mukherjee, Alok, Shariati, Mohammad Ali, Rebezov, Maksim, Tretyak, Lyudmila, Pateiro, Mirian, Lorenzo, José M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866069/
https://www.ncbi.nlm.nih.gov/pubmed/35243356
http://dx.doi.org/10.1016/j.crfs.2022.02.006
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author Sarkar, Tanmay
Salauddin, Molla
Mukherjee, Alok
Shariati, Mohammad Ali
Rebezov, Maksim
Tretyak, Lyudmila
Pateiro, Mirian
Lorenzo, José M.
author_facet Sarkar, Tanmay
Salauddin, Molla
Mukherjee, Alok
Shariati, Mohammad Ali
Rebezov, Maksim
Tretyak, Lyudmila
Pateiro, Mirian
Lorenzo, José M.
author_sort Sarkar, Tanmay
collection PubMed
description Bio-inspired optimization techniques (BOT) are part of intelligent computing techniques. There are several BOTs available and many new BOTs are evolving in this era of industrial revolution 4.0. Genetic algorithm, particle swarm optimization, artificial bee colony, and grey wolf optimization are the techniques explored by researchers in the field of food processing technology. Although, there are other potential methods that may efficiently solve the optimum related problem in food industries. In this review, the mathematical background of the techniques, their application and the potential microbial-based optimization methods with higher precision has been surveyed for a complete and comprehensive understanding of BOTs along with their mechanism of functioning. These techniques can simulate the process efficiently and able to find the near-to-optimal value expeditiously.
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spelling pubmed-88660692022-03-02 Application of bio-inspired optimization algorithms in food processing Sarkar, Tanmay Salauddin, Molla Mukherjee, Alok Shariati, Mohammad Ali Rebezov, Maksim Tretyak, Lyudmila Pateiro, Mirian Lorenzo, José M. Curr Res Food Sci Review Article Bio-inspired optimization techniques (BOT) are part of intelligent computing techniques. There are several BOTs available and many new BOTs are evolving in this era of industrial revolution 4.0. Genetic algorithm, particle swarm optimization, artificial bee colony, and grey wolf optimization are the techniques explored by researchers in the field of food processing technology. Although, there are other potential methods that may efficiently solve the optimum related problem in food industries. In this review, the mathematical background of the techniques, their application and the potential microbial-based optimization methods with higher precision has been surveyed for a complete and comprehensive understanding of BOTs along with their mechanism of functioning. These techniques can simulate the process efficiently and able to find the near-to-optimal value expeditiously. Elsevier 2022-02-16 /pmc/articles/PMC8866069/ /pubmed/35243356 http://dx.doi.org/10.1016/j.crfs.2022.02.006 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Sarkar, Tanmay
Salauddin, Molla
Mukherjee, Alok
Shariati, Mohammad Ali
Rebezov, Maksim
Tretyak, Lyudmila
Pateiro, Mirian
Lorenzo, José M.
Application of bio-inspired optimization algorithms in food processing
title Application of bio-inspired optimization algorithms in food processing
title_full Application of bio-inspired optimization algorithms in food processing
title_fullStr Application of bio-inspired optimization algorithms in food processing
title_full_unstemmed Application of bio-inspired optimization algorithms in food processing
title_short Application of bio-inspired optimization algorithms in food processing
title_sort application of bio-inspired optimization algorithms in food processing
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866069/
https://www.ncbi.nlm.nih.gov/pubmed/35243356
http://dx.doi.org/10.1016/j.crfs.2022.02.006
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