A methodology for optimization in multistage industrial processes: a pilot study
type: Item
instance of: scholarly article
title: A methodology for optimization in multistage industrial processes: a pilot study
zbMATH Open document ID: 1394.90406
DOI: 10.1155/2015/182679
author: Piotr Jarosz
author: Jan Kusiak
author: Stanisław Małecki
author: Piotr Oprocha
author: Łukasz Sztangret
author: Marek Wilkus
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: The paper introduces a methodology for optimization in multistage industrial processes with multiple quality criteria. Two ways of formulation of optimization problem and four different approaches to solve the problem are considered. Proposed methodologies were tested first on a virtual process described by benchmark functions and next were applied in optimization of multistage lead refining process.
Mathematics Subject Classification ID: 90B90
Mathematics Subject Classification ID: 90B30
zbMATH DE Number: 6925691
Wikidata QID: Q59117514
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/182679
OpenAlex ID: W1538700940
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Nonlinear multiobjective optimization
cites work: Q3627271
description: scientific article; zbMATH DE number 6925691