شماره ركورد كنفرانس :
5048
عنوان مقاله :
Comparing Genetic Algorithm and Simulated Annealing in Optimization of Distillation Column Sequences
Author/Authors :
Javad ،Ivakpour Chemical Engineering Department - Iran University of Science and Technology Narmak, Tehran, Iran , Norollah ،Kasiri Chemical Engineering Department - Iran University of Science and Technology Narmak, Tehran, Iran
كليدواژه :
Distillation column , Sequence , Optimization , non-sharp separation
عنوان كنفرانس :
ششمين كنگره بين المللي مهندسي شيمي
چكيده لاتين :
Optimum design of distillation columns sequences is one of the most complicated problems in process engineering. In
the current work, Genetic Algorithm and Simulated Annealing have been compared for this optimization problem. The
optimum design of distillation columns has been found based on the equilibrium-based simulation results with respect
to the separation cost. Comparing the results for an investigated example shows that Genetic Algorithm can find a
solution with lower separation cost. However, Simulated Annealing can find the local optimum solution in considerably
lower execution time. Also, bypass streams and non-sharp separation can be seen in the optimum condition.
