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Towards Utilitarian...
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
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- Präntare, Fredrik, 1990- (author)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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- Tiger, Mattias, 1989- (author)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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- 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
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- Heintz, Fredrik, 1975- (author)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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(creator_code:org_t)
- 2020
- 2020
- English.
- Related links:
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https://urn.kb.se/re...
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)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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