Thermal processing optimization through a modified adaptive random search

Abakarov A.; Sushkov, Y; Almonacid, S; Simpson, R

Abstract

This research suggests a modification of the adaptive random search method. The proposed modification is based on the utilization of the well-known logistic function or logistic curve in order to improve the random search adaptation characteristics. The algorithm tested results show the advantage of the random search modification over the previous random search organization, especially in the case of solving the multi-modal optimization problems. An interesting and important food industry optimization problem, such as thermal processing, was solved by the new organization of adaptive random search. © 2009 Elsevier Ltd. All rights reserved.

Más información

Título según WOS: Thermal processing optimization through a modified adaptive random search
Título según SCOPUS: Thermal processing optimization through a modified adaptive random search
Título de la Revista: JOURNAL OF FOOD ENGINEERING
Volumen: 93
Número: 2
Editorial: ELSEVIER SCI LTD
Fecha de publicación: 2009
Página de inicio: 200
Página final: 209
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0260877409000272
DOI:

10.1016/j.jfoodeng.2009.01.013

Notas: ISI, SCOPUS