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Are Evolutionary Algorithms Safe Optimizers?. (arXiv:2203.12622v1 [cs.NE])
March 25, 2022, 1:10 a.m. | Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
cs.LG updates on arXiv.org arxiv.org
We consider a type of constrained optimization problem, where the violation
of a constraint leads to an irrevocable loss, such as breakage of a valuable
experimental resource/platform or loss of human life. Such problems are
referred to as safe optimization problems (SafeOPs). While SafeOPs have
received attention in the machine learning community in recent years, there was
little interest in the evolutionary computation (EC) community despite some
early attempts between 2009 and 2011. Moreover, there is a lack of acceptable …
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