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Publication Detail
Breakout Session on Evolutionary Multiobjective Optimization
  • Publication Type:
  • Authors:
    Brockhoff D, Knowles JD, Langdon WB
  • Publication date:
  • Notes:
    keywords: GA, EMO size: 6 pages notes: Updates \citeLangdon:2013:DagstuhlEMO
The breakout session on EMO during the Dagstuhl seminar 13271 Theory of Evolutionary Algorithms brought together people familiar with EMO and researchers who have not yet worked on multiobjective optimization. The main discussion topics included: open problems, Information Geometric Optimisation (IGO), interactive evolution (IE) in a Pareto optimal context, especially the practical role of not necessarily rational human decision makers subject to fatigue and business pressures. We also discuss the role of: external finite archives and elitism, crossover and mutation particularly in fixed binary and non-binary representations, drift analysis, reducing run time, LOTZ, two-sphere and other benchmarks and the SEMO algorithm. Our goal is to provide the basis from which concrete theoretical studies can rapidly emerge.
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