Generative Adversarial Construction of Parallel Portfolios

Since automatic algorithm configuration methods have been very effective, recently there is increasing research interest in utilizing them for automatic solver construction, resulting in several notable approaches. For these approaches, a basic assumption is that the given training set could suffici...

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Vydané v:	IEEE transactions on cybernetics Ročník 52; číslo 2; s. 784 - 795
Hlavní autori:	Liu, Shengcai, Tang, Ke, Yao, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.02.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Automatic portfolio construction (APC) Boolean algebra generative adversarial approach Generative adversarial networks parallel algorithm portfolio Parallel algorithms parameter tuning Portfolios Solvers Training Training data
ISSN:	2168-2267, 2168-2275, 2168-2275
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