Multiobjective Optimization Approach: Thermal Food Processing

The objective of this study was to utilize a multiobjective optimization technique for the thermal sterilization of packaged foods. The multiobjective optimization approach used in this study is based on the optimization of well-known aggregating functions by an adaptive random search algorithm. The...

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Published in:	Journal of food science Vol. 74; no. 9; pp. E471 - E487
Main Authors:	Abakarov, A, Sushkov, Y, Almonacid, S, Simpson, R
Format:	Journal Article
Language:	English
Published:	Malden, USA Blackwell Publishing Inc 01.11.2009 Wiley Wiley Subscription Services, Inc
Subjects:	aggregating functions Algorithms analysis Animals Chemical Phenomena Computer Simulation Food Handling Food Handling - methods Food Microbiology Food Packaging Food Parasitology food processing Food processing industry food processing quality Food science Food Technology Food Technology - methods Geobacillus stearothermophilus Geobacillus stearothermophilus - growth & development growth & development heat treatment Hot Temperature literature reviews Meat Products Meat Products - analysis Meat Products - microbiology methods Microbial Viability microbiology Models, Biological multiobjective optimization multiobjective optimization technique Numerical Analysis, Computer-Assisted Optimization algorithms Optimization techniques Quality Control Sterilization Sterilization - methods sterilizing Sus scrofa Sus scrofa - microbiology thermal processing of packaged foods Thiamine Thiamine - analysis Time Factors
ISSN:	0022-1147, 1750-3841, 1750-3841
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Abstract	The objective of this study was to utilize a multiobjective optimization technique for the thermal sterilization of packaged foods. The multiobjective optimization approach used in this study is based on the optimization of well-known aggregating functions by an adaptive random search algorithm. The applicability of the proposed approach was illustrated by solving widely used multiobjective test problems taken from the literature. The numerical results obtained for the multiobjective test problems and for the thermal processing problem show that the proposed approach can be effectively used for solving multiobjective optimization problems arising in the food engineering field.
AbstractList	The objective of this study was to utilize a multiobjective optimization technique for the thermal sterilization of packaged foods. The multiobjective optimization approach used in this study is based on the optimization of well‐known aggregating functions by an adaptive random search algorithm. The applicability of the proposed approach was illustrated by solving widely used multiobjective test problems taken from the literature. The numerical results obtained for the multiobjective test problems and for the thermal processing problem show that the proposed approach can be effectively used for solving multiobjective optimization problems arising in the food engineering field. The objective of this study was to utilize a multiobjective optimization technique for the thermal sterilization of packaged foods. The multiobjective optimization approach used in this study is based on the optimization of well-known aggregating functions by an adaptive random search algorithm. The applicability of the proposed approach was illustrated by solving widely used multiobjective test problems taken from the literature. The numerical results obtained for the multiobjective test problems and for the thermal processing problem show that the proposed approach can be effectively used for solving multiobjective optimization problems arising in the food engineering field. [PUBLICATION ABSTRACT] The objective of this study was to utilize a multiobjective optimization technique for the thermal sterilization of packaged foods. The multiobjective optimization approach used in this study is based on the optimization of well-known aggregating functions by an adaptive random search algorithm. The applicability of the proposed approach was illustrated by solving widely used multiobjective test problems taken from the literature. The numerical results obtained for the multiobjective test problems and for the thermal processing problem show that the proposed approach can be effectively used for solving multiobjective optimization problems arising in the food engineering field.The objective of this study was to utilize a multiobjective optimization technique for the thermal sterilization of packaged foods. The multiobjective optimization approach used in this study is based on the optimization of well-known aggregating functions by an adaptive random search algorithm. The applicability of the proposed approach was illustrated by solving widely used multiobjective test problems taken from the literature. The numerical results obtained for the multiobjective test problems and for the thermal processing problem show that the proposed approach can be effectively used for solving multiobjective optimization problems arising in the food engineering field.
Author	Sushkov, Y. Simpson, R. Almonacid, S. Abakarov, A.
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Snippet	The objective of this study was to utilize a multiobjective optimization technique for the thermal sterilization of packaged foods. The multiobjective...
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SubjectTerms	aggregating functions Algorithms analysis Animals Chemical Phenomena Computer Simulation Food Handling Food Handling - methods Food Microbiology Food Packaging Food Parasitology food processing Food processing industry food processing quality Food science Food Technology Food Technology - methods Geobacillus stearothermophilus Geobacillus stearothermophilus - growth & development growth & development heat treatment Hot Temperature literature reviews Meat Products Meat Products - analysis Meat Products - microbiology methods Microbial Viability microbiology Models, Biological multiobjective optimization multiobjective optimization technique Numerical Analysis, Computer-Assisted Optimization algorithms Optimization techniques Quality Control Sterilization Sterilization - methods sterilizing Sus scrofa Sus scrofa - microbiology thermal processing of packaged foods Thiamine Thiamine - analysis Time Factors
Title	Multiobjective Optimization Approach: Thermal Food Processing
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