کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381517 1437489 2009 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mutual benefits of two multicriteria analysis methodologies: A case study for batch plant design
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Mutual benefits of two multicriteria analysis methodologies: A case study for batch plant design
چکیده انگلیسی

This paper presents a MultiObjective Genetic Algorithm (MOGA) optimization framework for batch plant design. For this purpose, two approaches are implemented and compared with respect to three criteria, i.e., investment cost, equipment number and a flexibility indicator based on work in process (the so-called WIP) computed by use of a discrete-event simulation model. The first approach involves a genetic algorithm in order to generate acceptable solutions, from which the best ones are chosen by using a Pareto Sort algorithm. The second approach combines the previous Genetic Algorithm with a multicriteria analysis methodology, i.e., the Electre method in order to find the best solutions. The performances of the two procedures are studied for a large-size problem and a comparison between the procedures is then made.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 22, Issues 4–5, June 2009, Pages 546–556
نویسندگان
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