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Editorial: Special issue on understanding complexity in multiobjective optimization
Journal of Multi-Criteria Decision Analysis ( IF 1.9 ) Pub Date : 2017-01-01 , DOI: 10.1002/mcda.1609
Salvatore Greco 1, 2 , Kathrin Klamroth 3 , Joshua Knowles 4 , Günter Rudolph 5
Affiliation  

This report documents the program and outcomes of the Dagstuhl Seminar 15031 Understanding Complexity in Multiobjective Optimization. This seminar carried on the series of four previous Dagstuhl Seminars (04461, 06501, 09041 and 12041) that were focused on Multiobjective Optimization, and strengthening the links between the Evolutionary Multiobjective Optimization (EMO) and Multiple Criteria Decision Making (MCDM) communities. The purpose of the seminar was to bring together researchers from the two communities to take part in a wide-ranging discussion about the different sources and impacts of complexity in multiobjective optimization. The outcome was a clarified viewpoint of complexity in the various facets of multiobjective optimization, leading to several research initiatives with innovative approaches for coping with complexity. Seminar January 11–16, 2015 – http://www.dagstuhl.de/15031 1998 ACM Subject Classification G.1.6 Optimization, H.4.2 Types of Systems, I.2.6 Learning, I.2.8 Problem Solving, Control Methods, and Search, I.5.1 Models

中文翻译:

社论:关于了解多目标优化中的复杂性的特刊

此报告记录了Dagstuhl研讨会15031了解多目标优化中的复杂性的计划和结果。该研讨会进行了一系列先前的四个Dagstuhl研讨会(04461、06501、09041和12041),这些研讨会的重点是多目标优化,并加强了进化多目标优化(EMO)与多准则决策(MCDM)社区之间的联系。研讨会的目的是召集两个社区的研究人员一起,就多目标优化中复杂性的不同来源和影响进行广泛讨论。结果是在多目标优化的各个方面明确了复杂性的观点,从而导致了一些具有创新性方法以应对复杂性的研究计划。
更新日期:2017-01-01
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