Ponsich, Antonin and Azzaro-Pantel, Catherine
and Domenech, Serge
and Pibouleau, Luc
About the Relevance of Mathematical Programming and Stochastic Optimisation Methods : Application to Optimal Batch Plant Design Problems.
(2005)
In: 15th European Symposium on Computer-Aided Process Engineering ESCAPE-15, 29 May - 1st June 2005, Barcelona (Spain) .
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(Document in English)
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Official URL: http://dx.doi.org/10.1016/S1570-7946(05)80130-0
Abstract
Due to their large variety of applications, combinatorial optimisation problems led to a great effort to develop efficient solution techniques. But among the diversity of those optimisation methods, the choice of the relevant technique to the treatment of a given problem keeps being hard. Within the Process Engineering framework, Optimal Batch Plant Design problems provide a good support to tackle, on the one hand, two Mathematical Programming techniques – DICOPT and SBB, implemented in the GAMs software – and, on the other hand, one stochastic method, i.e. a Genetic Algorithm. Various instances of a problem, with an increasing complexity, were solved with these techniques which performances were compared : the results enable to judge their efficiency in order to propose the most appropriate method according to the studied problem instance.
Item Type: | Conference or Workshop Item (Paper) |
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Audience (journal): | International peer-reviewed journal |
Audience (conference): | International conference proceedings |
Uncontrolled Keywords: | |
Institution: | Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) |
Laboratory name: | Laboratoire de Génie Chimique - LGC (Toulouse, France) - Procédés Systèmes Industriels (PSI) - Conception Optimisation Ordonnancement des Procédés (COOP) |
Statistics: | download |
Deposited On: | 29 Oct 2008 09:46 |
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