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Multiobjective optimization approach: thermal food processing.

A Abakarov1, Y Sushkov, S Almonacid

  • 1Dept. of Chemical and Environmental Engineering, Univ. Técnica Federico Santa María, P.O. Box 110-V, Valparaíso, Chile. alik.abakarov@usm.cl

Journal of Food Science
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a multiobjective optimization technique for thermal sterilization of packaged foods. The adaptive random search algorithm effectively solves complex food engineering optimization problems.

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Area of Science:

  • Food Science
  • Operations Research
  • Chemical Engineering

Background:

  • Thermal sterilization is crucial for food safety and shelf-life extension.
  • Optimizing sterilization processes balances microbial inactivation with quality preservation.
  • Existing methods may not efficiently handle the multiple objectives involved in thermal processing.

Purpose of the Study:

  • To apply a multiobjective optimization technique to the thermal sterilization of packaged foods.
  • To demonstrate the effectiveness of an adaptive random search algorithm for optimizing aggregating functions.
  • To validate the approach using established multiobjective test problems and a practical thermal processing scenario.

Main Methods:

  • Utilized a multiobjective optimization technique based on optimizing aggregating functions.
  • Employed an adaptive random search algorithm for the optimization process.
  • Tested the approach on standard multiobjective test problems and a food thermal processing case.

Main Results:

  • The proposed multiobjective optimization approach successfully solved test problems.
  • Numerical results confirmed the method's applicability to thermal processing optimization.
  • The adaptive random search algorithm proved effective in handling complex optimization tasks.

Conclusions:

  • The developed multiobjective optimization technique is suitable for thermal sterilization of packaged foods.
  • The approach offers an effective solution for multiobjective problems in food engineering.
  • This method enhances the efficiency and precision of food processing optimization.