Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/4115
Title: Global optimization of energy and production in process industries: a genetic algorithm application
Authors: Santos, Amâncio 
Dourado, António 
Keywords: Production control; Scheduling algorithms; Genetic algorithms; Global optimization; Pulp industry
Issue Date: 1999
Citation: Control Engineering Practice. 7:4 (1999) 549-554
Abstract: The process industries exhibit an increasing need for efficient management of all the factors that can reduce their operating costs, leading to the necessity for a global multi-objective optimization methodology that will enable the generation of optimum strategies, fulfilling the required restrictions. In this paper, a genetic algorithm is developed and applied for the optimal assignment of all the production sections in a particular mill in the kraft pulp and paper industry, in order to optimize energy the costs and production rate changes. This system is intended to implement all programmed or forced maintenance shutdowns, as well as all the reductions imposed in production rates.
URI: http://hdl.handle.net/10316/4115
Rights: openAccess
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat 
file0b30c269ad9f4a9891bae3fc6f8e70c1.pdf306.21 kBAdobe PDFView/Open
Show full item record

Page view(s) 50

314
checked on Jun 12, 2019

Download(s) 50

171
checked on Jun 12, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.