Use of Preferences for GA-based Multi-objective Optimisation

نویسندگان

  • Dragan Cvetkovic
  • Ian C. Parmee
چکیده

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: weighted sums GA and a method for combining the Pareto method with weights. Examples of preference relations application together with traditional Genetic Algorithms are also presented.

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تاریخ انتشار 1999