Application of bio-inspired optimization algorithms in food processing

被引：21

作者：

Sarkar, Tanmay ^{[1
]}

Salauddin, Molla ^{[2
]}

Mukherjee, Alok ^{[3
]}

Shariati, Mohammad Ali ^{[4
]}

Rebezov, Maksim ^{[4
,5
,6
]}

Tretyak, Lyudmila ^{[7
]}

Pateiro, Mirian ^{[8
]}

Lorenzo, Jose M. ^{[8
,9
]}

机构：

[1] West Bengal State Council Tech Educ, Dept Food Proc Technol, Malda Polytech, Malda 732102, W Bengal, India

[2] West Bengal State Council Tech Educ, Dept Food Proc Technol, Mir Madan Mohanlal Govt Polytech, Nadia 741156, W Bengal, India

[3] Govt Coll Engn & Ceram Technol, Kolkata, India

[4] KG Razumovsky Moscow State Univ Technol & Managem, Dept Sci Res, Moscow 109004, Russia

[5] Russian Acad Sci, Biophoton Ctr, Prokhorov Gen Phys Inst, Moscow 119991, Russia

[6] VM Gorbatov Fed Res Ctr Food Syst, Dept Sci Res, Moscow 109316, Russia

[7] Orenburg State Univ, Dept Metrol Standardizat & Certificat, Orenburg 460018, Russia

[8] Ctr Tecnol La Carrie Galicia, Rua Galicia 4,Parque Tecnol Galicia, San Cibrao Vihas 32900, Ourense, Spain

[9] Univ Vigo, Fac Ciencias, Area Tecnoloxia Alimentos, Orense 32004, Spain

来源：

CURRENT RESEARCH IN FOOD SCIENCE | 2022年 / 5卷

关键词：

Metaheuristic; Food process optimization; Nature-inspired algorithm; Food industry; RESPONSE-SURFACE METHODOLOGY; GENETIC ALGORITHM; SUPPLY CHAIN; MULTIOBJECTIVE OPTIMIZATION; METAHEURISTIC ALGORITHM; NEURAL-NETWORKS; COLONY; MODEL; HYBRID; FISH;

D O I：

10.1016/j.crfs.2022.02.006

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

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.

引用

页码：432 / 450

页数：19

共 50 条

[1] Image Processing by means of Some Bio-Inspired Optimization Algorithms
Bejinariu, Silviu-Ioan
Costin, Hariton
Rotaru, Florin
Luca, Ramona
Nita, Cristina
2015 E-HEALTH AND BIOENGINEERING CONFERENCE (EHB), 2015,
[2] A Study On Recent Bio-Inspired Optimization Algorithms
Pazhaniraja, N.
Paul, P. Victer
Roja, G.
Shanmugapriya, K.
Sonali, B.
2017 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATION AND NETWORKING (ICSCN), 2017,
[3] Testing of a Virtualized Distributed Processing System for the Execution of Bio-Inspired Optimization Algorithms
Gelvez, Nancy
Espitia, Helbert
Bayona, Jhon
SYMMETRY-BASEL, 2020, 12 (07):
[4] On the Application of Bio-inspired Algorithms in Timetabling Problem
Francisco, Daniela Oliveira
da Silva, Ivan Nunes
NEURAL INFORMATION PROCESSING, ICONIP 2012, PT III, 2012, 7665 : 637 - 644
[5] Special Issue on Bio-Inspired Algorithms for Image Processing
Szenasi, Sandor
Kertesz, Gabor
ALGORITHMS, 2020, 13 (12)
[6] Review of Bio-inspired Algorithms as Image Processing Techniques
Elaiza, Noor
Khalid, Abdul
Ariff, Norharyati Md
Yahya, Saadiah
Noor, Noorhayati Mohamed
SOFTWARE ENGINEERING AND COMPUTER SYSTEMS, PT 1, 2011, 179 : 660 - 673
[7] Comparative study of bio-inspired optimization algorithms and their application to dielectric function fitting
Liu, D.
Michalski, K. A.
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2016, 30 (14) : 1885 - 1894
[8] Heat production optimization using bio-inspired algorithms
Wozniak, Marcin
Ksiazek, Kamil
Marciniec, Jakub
Polap, Dawid
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2018, 76 : 185 - 201
[9] Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms
Wang, Hongjian
Creput, Jean-Charles
SWARM INTELLIGENCE BASED OPTIMIZATION (ICSIBO 2014), 2014, 8472 : 68 - 79
[10] Bio-inspired optimization algorithms for real underwater image restoration
Sanchez-Ferreira, C.
Coelho, L. S.
Ayala, H. V. H.
Farias, M. C. Q.
Llanos, C. H.
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2019, 77 : 49 - 65

← 1 2 3 4 5 →