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

Cecelja, F, Kokossis, A and Du, D (2011) Integration of ontology and knowledge-based optimization in process synthesis applications In: 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), 2010-05-29 - 2011-06-01, Chalkidiki, GREECE.

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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:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Cecelja, F f.cecelja@surrey.ac.uk Kokossis, A Du, D
Editors :	Name Email ORCID Pistikopoulos, E. N. Georgiadis, M. C. Kokossis, A. C.
Date :	1 January 2011
Copyright Disclaimer :	Copyright © 2011 Elsevier B.V. All rights reserved.
Uncontrolled Keywords :	Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Engineering, Chemical, Engineering, Industrial, Computer Science, Engineering, stochastic optimization, knowledge models, ontology, process synthesis, high throughput, REACTOR NETWORKS
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:12
Last Modified :	26 Mar 2020 17:16
URI:	http://epubs.surrey.ac.uk/id/eprint/834446

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