Understanding Complexity in Multiobjective Optimization

Salvatore  Greco; Kathrin Klamroth; Joshua Knowles; Gunter Rudolph

doi:10.4230/DagRep.5.1.96

Understanding Complexity in Multiobjective Optimization

Salvatore Greco, Kathrin Klamroth, Joshua Knowles, Gunter Rudolph

Computer Science

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Abstract

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.

Original language	English
Pages (from-to)	96-163
Journal	Dagstuhl Reports
Volume	5
Issue number	1
DOIs	https://doi.org/10.4230/DagRep.5.1.96
Publication status	Published - 2015
Event	Dagstuhl Seminar 15031 - Dagstuhl, Germany Duration: 11 Jan 2015 → 16 Jan 2015

Keywords

multiple criteria decision making
evolutionary multiobjective optimization

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title = "Understanding Complexity in Multiobjective Optimization",

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KW - evolutionary multiobjective optimization

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Understanding Complexity in Multiobjective Optimization

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Keywords

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