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Multi-objective optimization using MS Excel with an application to design of a falling-film evaporator system

Paper ID Volume ID Publish Year Pages File Format Full-Text
19317 43059 2012 12 PDF Available
Title
Multi-objective optimization using MS Excel with an application to design of a falling-film evaporator system
Abstract

There are a number of multi-objective optimization (MOO) methods and programs, as well as many applications of MOO in food engineering. However, almost all these applications have been done using programs/platforms that are not readily used in the industry. On the other hand, engineers are familiar with MS Excel and use it in both research and industrial practice. Hence, in this work, an Excel-based MOO (EMOO) program is developed based on the elitist non-dominated sorting genetic algorithm (NSGA-II) and tested on benchmark problems. It is then applied for MOO of design of a falling-film evaporator system, consisting of a pre-heater, evaporator, vapor condenser and steam jet ejector, for milk concentration. The EMOO program gave well-distributed Pareto-optimal solutions for the MOO problems tested. Design equations and results for two bi-objective optimization problems are presented and discussed.

Research highlights► Presents an Excel-based program for solving multi-objective optimization problems. ► The Excel-based program was used for designing a falling film evaporator system. ► The evaporator system was optimized for capital cost and annual operating cost.

Keywords
Multi-objective optimization; MS Excel; NSGA-II; Falling-film evaporator; Milk concentration
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Multi-objective optimization using MS Excel with an application to design of a falling-film evaporator system
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Publisher
Database: Elsevier - ScienceDirect
Journal: Food and Bioproducts Processing - Volume 90, Issue 2, April 2012, Pages 123–134
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us