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Teaching Mono and Multi-objective Genetic Algorithms in Process Systems Engineering an illustration with the MULTIGEN environment, ESCAPE 18.doc

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Teaching Mono and Multi-objective Genetic Algorithms in Process Systems Engineering an illustration with the MULTIGEN environment, ESCAPE 18.doc

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Teaching Mono and Multi-objective Genetic Algorithms in Process Systems Engineering an illustration with the MULTIGEN environment, ESCAPE 18.doc

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文档介绍:Teaching Mono and Multi-objective ic Algorithms in Process Systems Engineering: an illustration with the MULTIGEN environment
Adrien Gomeza,b, Catherine Azzaro-Pantela,b, Luc Pibouleaua,b, Serge Domenecha,b
aENSIACET INPT, 118 Route de Narbonne, Toulouse 31077 Cedex 04, France
bLaboratoire de Génie Chimique, LGC RS 5503, 5 Rue Paulin Talabot BP 1301, Toulouse 31106 Cedex 1,France
Abstract
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 monly 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 ic 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-o