Nov 26, 2013 · This paper tackles the challenge of crafting a set of features that can capture the structure of black-box optimization (BBO) problem fitness ...
We present a robust set of features that analyze the fitness landscape of BBO problems and show how an algorithm portfolio approach can exploit these general, ...
We present a robust set of features that analyze the fitness landscape of BBO problems and show how an algorithm portfolio approach can exploit these general, ...
Title, Features for Exploiting Black-Box Optimization Problem Structure. Publication Type, Conference Paper. Year of Publication, 2013.
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Features for Exploiting Black-Box Optimization Problem Structure. In: Nicosia G, Pardalos P, eds. Learning and Intelligent Optimization: 7th International ...
AB - Black-box optimization (BBO) problems arise in numerousscientic and engineering applications and are characterized by compu-tationally intensive objective ...
May 4, 2022 · In this post we're going to cover the more common, and difficult, black box perspective. Here we only know what features are being extracted from each sample.
Missing: Structure. | Show results with:Structure.
We present a robust set of features that analyze the fitness landscape of BBO problems and show how an algorithm portfolio approach can exploit these general, ...
We present a robust set of features that analyze the fitness landscape of black-box optimization (BBO) problems. We show that these features are effective ...
Exploiting specificities of the problem such as linearity, convexity or differentiability lead to efficient algorithms. There are numerous optimization ...