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Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms

Präntare, Fredrik, 1990- (author)
Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
Tiger, Mattias, 1989- (author)
Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
Bergström, David, 1994- (author)
Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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Appelgren, Herman, 1995- (author)
Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
Heintz, Fredrik, 1975- (author)
Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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 (creator_code:org_t)
2020
2020
English.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • This paper presents preliminary work on using deep neural networksto guide general-purpose heuristic algorithms for performing utilitarian combinatorial assignment. In more detail, we use deep learning in an attempt to produce heuristics that can be used together with e.g., search algorithms to generatefeasible solutions of higher quality more quickly. Our results indicate that ourapproach could be a promising future method for constructing such heuristics.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

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