Sequential Approximate Multiobjective Optimization Using Computational Intelligence
Sequential Approximate Multiobjective Optimization Using Computational Intelligence
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DOI：
10.1007/978-3-540-88910-6
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发表时间：
2009-05
期刊：
影响因子：
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通讯作者：
Min Yoon;Y. Yun;H. Nakayama
中科院分区：
文献类型：
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作者：
Min Yoon;Y. Yun;H. Nakayama
许多实际问题，如工程设计，工业管理和？金融投资有多重目标？与他人交流。Thoseproblemscanbeformulatedasmultiobjectiveoptimization。在多目标优化中，并不存在最小化（或最大化）所有目标函数的唯一解决方案。我们经常面临这样的情况：如果我们想要提高某些目标，我们必须放弃其他目标。最后，我们关注的是如何提高一些目标，而不是放弃多少其他目标。这被称为“trade-o”。注意，做trade-o？是决策者价值判断的问题。如何将决策者的价值判断纳入决策系统是多目标优化的一个主要问题。价值判断存在两大问题：(1)价值判断的多样性问题和(2)价值判断的动态性问题。价值判断的多样性被视为一种贸易？多目标优化分析。另一方面，价值判断的动态性是不确定的。邪教治疗。然而，即使在决策过程中，决策者的价值判断也会发生变化，这是很自然的，因为他们在决策过程中获得了新的信息。因此，决策支持系统必须具有抗决策者价值判断变化的鲁棒性。为此，开发了一种交互式p- gramingmethods，该方法在获取决策者价值判断的部分信息的同时搜索解决方案。这些方法都需要执行吗？显然对决策者的态度。
Many kinds of practical problems such as engineering design, industrial m-agement and? nancial investment have multiple objectives con? icting with eachother. Thoseproblemscanbeformulatedasmultiobjectiveoptimization. In multiobjective optimization, there does not necessarily a unique solution which minimizes (or maximizes) all objective functions. We usually face to the situation in which if we want to improve some of objectives, we have to give up other objectives. Finally, we pay much attention on how much to improve some of objectives and instead how much to give up others. This is called “trade-o?.” Note that making trade-o? is a problem of value ju-ment of decision makers. One of main themes of multiobjective optimization is how to incorporate value judgment of decision makers into decision s-port systems. There are two major issues in value judgment (1) multiplicity of value judgment and (2) dynamics of value judgment. The multiplicity of value judgment is treated as trade-o? analysis in multiobjective optimi-tion. On the other hand, dynamics of value judgment is di? cult to treat. However, it is natural that decision makers change their value judgment even in decision making process, because they obtain new information during the process. Therefore, decision support systems are to be robust against the change of value judgment of decision makers. To this aim, interactive p-grammingmethodswhichsearchasolutionwhileelicitingpartialinformation on value judgment of decision makers have been developed. Those methods are required to perform? exibly for decision makers’ attitude.