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) .
(Document in English)
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Official URL: http://dx.doi.org/10.1016/S1570-7946(05)80130-0
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)|
|Audience (journal):||International peer-reviewed journal|
|Audience (conference):||International conference proceedings|
|Institution:|| Université de Toulouse > Institut National Polytechnique de Toulouse - INPT|
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
French research institutions > Centre National de la Recherche Scientifique - CNRS
Laboratoire de Génie Chimique - LGC (Toulouse, France) - Procédés Systèmes Industriels (PSI) - Conception Optimisation Ordonnancement des Procédés (COOP)
|Deposited By:||Hélène Dubernard|
|Deposited On:||29 Oct 2008 09:46|
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