English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/48082
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


Efficient and robustmulti-objective optimization of food processing: a novel approach with application to thermal sterilization

AuthorsSendín, José-Óscar H. ; Alonso, Antonio A. ; Banga, Julio R.
KeywordsMulti-objective optimization
Food thermal processing
Pareto solutions
Issue Date2010
CitationJournal of Food Engineering 98(3): 317-324 (2010)
AbstractThe optimization of thermal processing of foods is a topic which has received great attention during the last decades. The majority of the authors have considered the use of single-objective (criteria) for the optimization. However, the simultaneous optimization of several objectives is much more realistic and desirable, but the associated non-linear programming problems can be very challenging to solve. Here, we describe an efficient and robustmulti-criteria optimization method which can be successfully applied to large dynamic systems, like those arising from the modelling of thermal processing of foods. Further, their capabilities for better design and operation of these processes will be highlighted with selected case studies, where the generated Pareto solutions will be analysed. Finally, we will also illustrate their advantages over other recently proposed strategies
Description9 figuras, 1 tabla
Publisher version (URL)http://dx.doi.org/10.1016/j.jfoodeng.2010.01.007
Appears in Collections:(IIM) Artículos
Files in This Item:
File Description SizeFormat 
Sendin_et_al_2009_Thermal sterilization_moptfood_REVISED.pdf389,89 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.