Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …

Interactive multiobjective optimization (IMO) aims at finding the most preferred solution of a
decision maker with the guidance of his/her preferences which are provided progressively …

This article presents a review and a classification of interactive optimization methods. These
interactive methods are used for solving optimization problems. The interaction with an end …

A real-world multiobjective optimization problem (MOP) usually has differently scaled
objectives. Objective space normalization has been widely used in multiobjective …

Interactive methods are useful decision-making tools for multiobjective optimization
problems, because they allow a decision-maker to provide her/his preference information …

The ultimate goal of multiobjective optimization is to help a decision maker (DM) identify
solution (s) of interest (SOI) achieving satisfactory tradeoffs among multiple conflicting …

The paper focuses on investors whose strength of interest in sustainability issues (such as
environmental, social, and governance) causes ESG to become a third criterion alongside …

In this paper we address the difficult problem of parameter-finding in image segmentation.
We replace a tedious manual process that is often based on guess-work and luck by a …

An overview of interactive methods for solving nonlinear multiobjective optimization
problems is given. In interactive methods, the decision maker progressively provides …

Interactive multiobjective optimization methods incorporate preferences from a human
decision maker in the optimization process iteratively. This allows the decision maker to …