Semantically Enabled Process Synthesis and Optimisation

Labrador-Darder,, C, Kokossis,, A and Cecelja, F (2016) Semantically Enabled Process Synthesis and Optimisation Computers and Chemical Engineering, 93. pp. 64-86.

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Abstract

This paper introduces a new framework to support synthesis of complex engineering problems using a paradigm that combines optimisation with ontological knowledge modelling. The framework registers and analyzes new solutions by introducing a mechanism of digital certificates to translate structural information and solution features through semantics of an ontology. The solutions are respectively clustered by design features. Tested against complex synthesis of reactor networks, the framework offers a potential to visualize optimization in the course of its development and demonstrates noticeable advantages over conventional methods of a similar basis in convergence and performance.

Item Type:	Article
Subjects :	Chemical & Process Engineering
Divisions :	Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :	Name Email ORCID Labrador-Darder,, C UNSPECIFIED UNSPECIFIED Kokossis,, A UNSPECIFIED UNSPECIFIED Cecelja, F UNSPECIFIED UNSPECIFIED
Date :	9 June 2016
Identification Number :	https://doi.org/10.1016/j.compchemeng.2016.05.018
Copyright Disclaimer :	© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Depositing User :	Symplectic Elements
Date Deposited :	28 Jun 2016 14:13
Last Modified :	16 Mar 2017 12:29
URI:	http://epubs.surrey.ac.uk/id/eprint/809609

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