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Efficient Multi-Information Source Multiobjective Bayesian Optimization

Published in AIAA Scitech 2020 Forum • Jan 5, 2020
NobleIDNI5P47W99R40S17
Authors:
Danial Khatamsaz
,
Lalith Peddareddygari
,
Sam Friedman

Abstract

Multi-objective optimization is often a difficult task owing to the need to balance competing objectives. A typical approach to handling this is to estimate a Pareto frontier in objective space by identifying non-dominated points. This task is typically computationally demanding owing to the need to...

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