Huang, C;
Piccione, PM;
Cattani, F;
Galvanin, F;
(2017)
A two-layer identification strategy for the development of stochastic models of the travelling traders' exchange problem.
In:
Computer Aided Chemical Engineering.
(pp. pp. 265-270).
Elsevier: Barcelona, Spain.
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Abstract
The travelling traders’ exchange problem (TTEP) is a general mathematical problem arising in a number of applications where the purpose is to characterise the distribution of money over time related to a population of traders which can move in space and interact with each other. Results from stochastic simulations of TTEP models can be analysed over time in terms of i) standard deviation (STD); ii) probability density function (PDF) of the observations in time. A two-layer model identification strategy is proposed in this paper for the development of time-dependent nonlinear regression models from the results of TTEP computational stochastic simulations. The models are capable of representing the money distribution as a function of the TTEP operating parameters, paving the way to a new framework for model identification.
| Type: | Proceedings paper |
|---|---|
| Title: | A two-layer identification strategy for the development of stochastic models of the travelling traders' exchange problem |
| Event: | ESCAPE 27 - 27th European Symposium on Computer Aided Process Engineering |
| Location: | Barcelona |
| Dates: | 01 October 2017 - 05 October 2017 |
| DOI: | 10.1016/B978-0-444-63965-3.50046-5 |
| Publisher version: | https://doi.org/10.1016/B978-0-444-63965-3.50046-5 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | stochastic simulation, travelling traders’ exchange problem, model identification |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1566836 |
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