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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-8866069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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