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Integration of ontology and knowledge-based optimization in process synthesis applications

Cecelja, Franjo, Kokossis, Antonis and Du, D (2011) Integration of ontology and knowledge-based optimization in process synthesis applications Computer Aided Chemical Engineering, 29. pp. 427-431.

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Abstract

Previous research has shown that knowledge-based optimization models in process synthesis applications are more robust in both providing final outputs and improving computational performance. This expands this approach by implementing a general knowledge models which in turn enables interpretation of solutions so that non-experts understand detailed procedures of optimization. To this end, an automatic ontology based optimization system that links rule-based optimization model and ontology has been introduced for the purpose to both improve optimization performance and to present new extracted knowledge at optimization run-time. A benchmark reactor network design synthesis case is studied for comparison of performance.The concomitant results show that not only can ontology-based optimization system improve robustness of solutions and computational performance, but also it enables a more accurate understanding of the process synthesis procedures and presents extracted knowledge in a decent format.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences
Authors :
NameEmailORCID
Cecelja, FranjoF.Cecelja@surrey.ac.uk
Kokossis, AntonisA.Kokossis@surrey.ac.uk
Du, D
Date : 12 June 2011
DOI : 10.1016/B978-0-444-53711-9.50086-9
Copyright Disclaimer : Copyright © 2011 Elsevier B.V. All rights reserved.
Contributors :
ContributionNameEmailORCID
http://www.loc.gov/loc.terms/relators/EDTPistikopoulos, E. N.
http://www.loc.gov/loc.terms/relators/EDTGeorgiadis, M.C.
http://www.loc.gov/loc.terms/relators/EDTKokossis, A. C.
Uncontrolled Keywords : Stochastic optimization; Knowledge models; Ontology; Process synthesis; High throughput
Additional Information : Part of 21st European Symposium on Computer Aided Process Engineering
Depositing User : Symplectic Elements
Date Deposited : 18 Jul 2017 08:58
Last Modified : 26 Mar 2020 17:07
URI: http://epubs.surrey.ac.uk/id/eprint/804325

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