Assessing the Performance of Interactive Multiobjective Optimization Methods

Interactive methods are useful decision-making tools for multiobjective optimization problems, because they allow a decision-maker to provide her/his preference information iteratively in comfortable way at the same time as (s)he learns about all different aspects of problem. A wide variety interactive is nowadays available, and differ from each other both technical type employed. Therefore, assessing performance can help users choose most appropriate one given This challenging task, which has been tackled perspectives published literature. We present bibliographic survey papers where have assessed (either individually or compared methods). Besides features, we collect involved (utility value functions, artificial human decision-maker), provided, that were somehow measured. Based on our own experiences, identify series desirable properties believe should be assessed.