شماره ركورد كنفرانس :
4518
عنوان مقاله :
Generalized Disjunctive Programming for Optimum Distillation Column Sequence: a comparison with genetic algorithm and heuristic methods
پديدآورندگان :
Morteza Mahmudimanesh CAPE Lab - School of Chemical Engineering - Iran University of Science and Technology , Tehran , Norollah Kasiri CAPE Lab - School of Chemical Engineering - Iran University of Science and Technology , Tehran , Javad Ivakpour CAPE Lab - School of Chemical Engineering - Iran University of Science and Technology , Tehran
كليدواژه :
distillation column sequence , generalized disjunctive programming , optimization , (Mixed Integer Non Linear Programming (MINLP
عنوان كنفرانس :
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
چكيده لاتين :
An optimization systematic framework is inroduced in this work based on superstructure optimization with mathematical programming for the synthsis of optimum distillation column sequences that is a challenging problem, due to its huge search space. The proposed optimization models are obtained from a systematic modeling procedure where generalized disjunctive programming models are derived using the state task network (STN) superstructure representations. This method has been implemented in the LOGMIP, a GAMS-based software. The results obtained for optimum sequence is compared with genetic algorithm and heuristic method for a five component typical problem.
