Use of Preferences for GA-based Multi-objective Optimisation

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.

• Type: Conference
• Year: 1999
• Where: GECCO
• Authors: Dragan Cvetkovic, Ian C. Parmee
• Keywords: GECCO 1999, Genetic Algorithms, Multi–objective Genetic Algorithms, Optimization, Preference Relations