Interactive Multiobjective Evolutionary Algorithms
نویسندگان
چکیده
This chapter describes various approaches to the use of evolutionary algorithms and other metaheuristics in interactive multiobjective optimization. We distinguish the traditional approach to interactive analysis with the use of single objective metaheuristics, the semi-a posteriori approach with interactive selection from a set of solutions generated by a multiobjective metaheuristic, and specialized interactive multiobjective metaheuristics in which the DM’s preferences are interactively expressed during the run of the method. We analyze properties of each of the approaches and give examples from the literature.
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