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گواهی نمایه سازی مقاله Generalized Disjunctive Programming for Optimum Distillation Column Sequence: a comparison with genetic algorithm and heuristic methods

عنوان مقاله: Generalized Disjunctive Programming for Optimum Distillation Column Sequence: a comparison with genetic algorithm and heuristic methods
شناسه (COI) مقاله: ICHEC07_383
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

Morteza Mahmudimanesh - CAPE Lab, School of Chemical Engineering, Iran University of Science and Technology Narmak, Tehran, Iran, Postal code: 1684613114
Norollah Kasiri - CAPE Lab, School of Chemical Engineering, Iran University of Science and Technology Narmak, Tehran, Iran, Postal code: 1684613114
Javad Ivakpour - Research Institute of Petroleum Industry

خلاصه مقاله:
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

کلمات کلیدی:
distillation column sequence, generalized disjunctive programming, optimization, Mixed Integer Non Linear Programming (MINLP)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICHEC07-ICHEC07_383.html