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This article deals with a review of modern interactive methods for solving the multi-objective optimization problem. The most advanced class of interactive methods is represented by techniques based on estimations offered by the system of multi-objective optimization of alternatives. Depending on the form of the decision maker’s estimates one can separate two classes of interactive methods: methods based on estimations of DM’s preference function and methods based on the pairwise comparison of solutions. Precisely these two classes of interactive methods are described in more detail in this article; directions for their further development are proposed.