Learning for Optimization with Virtual Savant

Optimization problems arising in multiple fields of study demand efficient algorithms that can exploit modern parallel computing platforms. The remarkable development of machine learning offers an opportunity to incorporate learning into optimization algorithms to efficiently solve large and complex...

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Bibliographic Details

Main Author:	Massobrio, Renzo (author)
Format:	doctoralThesis
Language:	English
Published:	2021
Subjects:	virtual savant machine learning parallel computing optimization next release problem heterogeneous computing scheduling problem bus synchronization problem Ciencias Naturales y Exactas Ciencias de la Computación e Información Ciencias de la Computación
Online Access:	https://hdl.handle.net/20.500.12381/291
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