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Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design

Aguilar-Lasserre, Alberto and Azzaro-Pantel, Catherine and Pibouleau, Luc and Domenech, Serge Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design. (2007) In: Analysis and Design of Intelligent Systems using Soft Computing Techniques. (Advances in Soft Computing ). SpringerLink, Berlin, pp. 590-599. ISBN 978-3-540-72431-5

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Official URL: http://dx.doi.org/10.1007/978-3-540-72432-2

Abstract

The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must form an integral part of the design problem. This work proposes an alternative treatment of the imprecision (demands) by using fuzzy concepts. In this study, we introduce a new approach to the design problem based on a multiobjective genetic algorithm, taking into account simultaneously maximization of the net present value NPV ~ and two other performance criteria, i.e. the production delay/advance and a flexibility criterion. The methodology provides a set of scenarios that are helpful to the decision’s maker and constitutes a very promising framework for taken imprecision into account in new product development stage. Besides, a hybrid selection method Pareto rank-tournament was proposed and showed a better performance than the classical Goldberg’s wheel, systematically leading to a higher number of non-dominated solutions.

Item Type:Book Section
Additional Information:Thanks to SpringerLink editor. The definitive version is available at http://www.springerlink.com The original PDF of the book section can be found at http://www.springerlink.com/content/u28622t74283rm5u/
Uncontrolled Keywords:
Institution:Other partners > Instituto Tecnologico de Orizaba (MEXICO)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
French research institutions > Centre National de la Recherche Scientifique - CNRS
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Deposited By: Hélène Dubernard

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