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Optimal Computing Budget Allocation for Noisy Hypervolume-Based Multi-Objective Evolutionary optimization

Florian Siegmund

Information on the Thesis

Type of Final Thesis: Diplom
Supervisor: Jürgen BrankeHartmut Schmeck
Research Group: Efficient Algorithms

Archive Number: 3.291
Status of Thesis: Completed
Date of start: 2010-05-21
Date of submission: 2010-11-20

Further Information

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