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Solving complex design problems through multiobjective optimisation taking into account judgements of users
Authors:Céline Villa  Raphael Labayrade
Affiliation:1. IFSTTAR, COSYS, LEPSIS, 14-20 boulevard Newton, 77447, Champs-sur-Marne, France
2. Université de Lyon, 69003, Lyon, France
3. Ecole Nationale des Travaux Publics de l’Etat, Département Génie Civil Batiment, 3, rue Maurice Audin, 69120, Vaulx-en-Velin, France
Abstract:In the design process of products or systems, a current trend consists in taking into account judgments of users. In this context, a multiobjective optimisation method taking into account judgments of a panel of subjects is proposed. It is aimed at identifying the best trade-offs between quantitative objectives and judgments of users. The method is divided in two steps: (1) judgment data acquisition and (2) integration of the judgment data into the multiobjective optimisation process. The method is based on a stochastic Pareto-based evolutionary algorithm for optimisation and on a multilinear interpolation for judgment modelling. The combination of these techniques makes it possible to solve complex problems, with up to eight decision variables and up to at least eight objectives. Relevant applications of the method include optimisation with judgments about various aspects of the product or system, identification of the best trade-offs satisfying at the same time several groups with different judgments, and analysis of the interest of market segmentation. For illustration purpose, a pilot study about an individual office lighting design problem is processed.
Keywords:
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