Designer’s Preferences and Multi—objective Preliminary Design Processes

In this paper we present a method based on preference relations for transforming non—crisp (qualitative) relationships between objectives in multi—objective optimisation into quantitative attributes (i.e. numbers).This is integrated with two multi—objective genetic algorithms (GAs): weighted sums GA and a method for combining the Pareto method with weights. Examples of the preference relations application together with traditional genetic algorithms are also presented. Some complexity issues are discussed and analysed.

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