Azzaro-Pantel, Catherine and Domenech, Serge and Gomez, Adrien and Pibouleau, Luc Teaching Mono and Multi-objective Genetic Algorithms in Process Systems Engineering: an illustration with the MULTIGEN environment. (2008) In: Escape 18, Lyon,France, 1-4 June 2008 .
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Engineering design problems are usually characterized by the presence of many conflicting objectives that the design has to fulfill. Therefore, it is natural to look at many engineering problems as multi-objective optimization problems, with continuous and integer variables. The case is commonly encountered in several process systems engineering problems and such courses modules begin to make part of the curriculum of chemical engineering education. The aim of the paper is to develop the teaching strategy used in the master-level program “EcoEnergy” given in ENSIACET (Toulouse, France) which presents the main concepts of mono and multi-objective genetic algorithms. The MULTIGEN algorithm is then applied to a gas turbine using natural gas as a fuel with a thermo-economic optimization taking into account both the maximization of an efficiency criterion and minimization of natural gas consumption, in order to reduce CO2 emissions. The students learn how to obtain and interpret Pareto fronts in multi-objective configurations.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||This article is publied in 18TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING,n°25 You can find the abstract in : http://www.elsevier.com/wps/find/bookdescription.cws_home/715478/description#description|
|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)
|Deposited By:||Guylène Abadie|
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