Multiobjective Optimization Approach: Thermal Food Processing

Authors

  • A. Abakarov,

    1. Authors Abakarov, Almonacid, and Simpson are with Dept. of Chemical and Environmental Engineering, Univ. Técnica Federico Santa María, P.O. Box 110-V, Valparaíso, Chile, and Centro Regional de Estudios en Alimentos Saludables, Blanco 1623 room 1402, Valparaíso, Chile. Author Sushkov is with Mathematics Dept., St. Petersburg Univ., Universitetsky av. 28, Petrodvorets, St. Petersburg 198504, Russia. Direct inquiries to author Abakarov (E-mail: alik.abakarov@usm.cl).
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  • Y. Sushkov,

    1. Authors Abakarov, Almonacid, and Simpson are with Dept. of Chemical and Environmental Engineering, Univ. Técnica Federico Santa María, P.O. Box 110-V, Valparaíso, Chile, and Centro Regional de Estudios en Alimentos Saludables, Blanco 1623 room 1402, Valparaíso, Chile. Author Sushkov is with Mathematics Dept., St. Petersburg Univ., Universitetsky av. 28, Petrodvorets, St. Petersburg 198504, Russia. Direct inquiries to author Abakarov (E-mail: alik.abakarov@usm.cl).
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  • S. Almonacid,

    1. Authors Abakarov, Almonacid, and Simpson are with Dept. of Chemical and Environmental Engineering, Univ. Técnica Federico Santa María, P.O. Box 110-V, Valparaíso, Chile, and Centro Regional de Estudios en Alimentos Saludables, Blanco 1623 room 1402, Valparaíso, Chile. Author Sushkov is with Mathematics Dept., St. Petersburg Univ., Universitetsky av. 28, Petrodvorets, St. Petersburg 198504, Russia. Direct inquiries to author Abakarov (E-mail: alik.abakarov@usm.cl).
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  • R. Simpson

    1. Authors Abakarov, Almonacid, and Simpson are with Dept. of Chemical and Environmental Engineering, Univ. Técnica Federico Santa María, P.O. Box 110-V, Valparaíso, Chile, and Centro Regional de Estudios en Alimentos Saludables, Blanco 1623 room 1402, Valparaíso, Chile. Author Sushkov is with Mathematics Dept., St. Petersburg Univ., Universitetsky av. 28, Petrodvorets, St. Petersburg 198504, Russia. Direct inquiries to author Abakarov (E-mail: alik.abakarov@usm.cl).
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Abstract

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.

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