Why Use Interactive Multi-Objective Optimization in Chemical Process Design?

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dc.contributor.author Miettinen, Kaisa
dc.contributor.author Hakanen, Jussi
dc.date.accessioned 2011-12-21T12:31:34Z
dc.date.available 2011-12-21T12:31:34Z
dc.date.issued 2009
dc.identifier.citation Miettinen, K. & Hakanen, J. (2009). Why Use Interactive Multi-Objective Optimization in Chemical Process Design?. In G. Rangaiah (Eds.), Multi-Objective Optimization: Techniques and Applications in Chemical Engineering. (pp. 153-188). World Scientific.
dc.identifier.isbn 978-981-283-651-9
dc.identifier.other TUTKAID_27028
dc.identifier.uri http://hdl.handle.net/123456789/37133
dc.description.abstract Problems in chemical engineering, like most real-world optimization problems, typically, have several conflicting performance criteria or objectives and they often are computationally demanding, which sets special requirements on the optimization methods used. In this paper, we point out some shortcomings of some widely used basic methods of multi-objective optimization. As an alternative, we suggest using interactive approaches where the role of a decision maker or a designer is emphasized. Interactive multi-objective optimization has been shown to suit well for chemical process design problems because it takes the preferences of the decision maker into account in an iterative manner that enables a focused search for the best Pareto optimal solution, that is, the best compromise between the conflicting objectives. For this reason, only those solutions that are of interest to the decision maker need to be generated making this kind of an approach computationally efficient. Besides, the decision maker does not have to compare many solutions at a time which makes interactive approaches more usable from the cognitive point of view. Furthermore, during the interactive solution process the decision maker can learn about the interrelationships among the objectives. In addition to describing the general philosophy of interactive approaches, we discuss the possibilities of interactive multi-objective optimization in chemical process design and give some examples of interactive methods to illustrate the ideas. Finally, we demonstrate the usefulness of interactive approaches in chemical process design by summarizing some reported studies related to, for example, paper making and sugar industries. Let us emphasize that the approaches described are appropriate for problems with more than two objective functions.
dc.language.iso eng
dc.publisher World Scientific
dc.rights Copyright © 2009 by World Scientific Publishing. This is an electronic final draft version of an article whose final and definitive form has been published in Multi-Objective Optimization by World Scientific Publishing.
dc.subject.other Monitavoitteinen päätöksenteko (MCDM) fi
dc.subject.other interaktiiviset menetelmät fi
dc.subject.other skalarisointi fi
dc.subject.other kemian tekniikka fi
dc.subject.other Pareto-optimaalisuus fi
dc.subject.other Multiple criteria decision making (MCDM) en
dc.subject.other interactive methods en
dc.subject.other scalarization en
dc.subject.other chemical engineering en
dc.subject.other Pareto optimality en
dc.title Why Use Interactive Multi-Objective Optimization in Chemical Process Design?
dc.type Book item en
dc.identifier.urn URN:NBN:fi:jyu-2011121511805
dc.contributor.laitos Tietotekniikan laitos fi
dc.contributor.laitos Department of Mathematical Information Technology en
dc.contributor.oppiaine tietotekniikka fi
jyx.tutka.ksname Multi-Objective Optimization: Techniques and Applications in Chemical Engineering
jyx.tutka.pagetopage 153-188
dc.type.uri http://purl.org/eprint/type/BookItem
dc.date.updated 2011-12-15T04:30:16Z
dc.description.version Final draft
eprint.status http://purl.org/eprint/type/status/SubmittedPeerReviewed

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