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

中文翻译：

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评估交互式多目标优化方法的性能

交互式方法是多目标优化问题的有用决策工具，因为它们允许决策者在了解问题的所有不同方面的同时以舒适的方式迭代地提供她/他的偏好信息。现在有各种各样的交互方法可用，它们在技术方面和所采用的偏好信息类型方面彼此不同。因此，评估交互方法的性能可以帮助用户选择最适合给定问题的方法。这是一项具有挑战性的任务，已在已发表的文献中从不同的角度解决了这一问题。我们对已评估交互式多目标优化方法（单独或与其他方法比较）的论文进行了书目调查。除了其他特征外，我们还收集有关决策者类型（效用或价值函数、人工或人工决策者）、提供的偏好信息类型以及以某种方式测量的交互方法方面的信息。根据调查和我们自己的经验，我们确定了我们认为应该评估的交互方法的一系列理想属性。