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Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0367-2430
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8546-4431
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-9240-4605
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.
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2020 (English)In: Trustworthy AI - Integrating Learning, Optimization and Reasoning: First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers / [ed] Fredrik Heintz, Michela Milano, Barry O'Sullivan, Cham, Germany: Springer, 2020, p. 104-111Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Cham, Germany: Springer, 2020. p. 104-111
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 12641 LNAI
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-175570DOI: 10.1007/978-3-030-73959-1_10Scopus ID: 2-s2.0-85105930783ISBN: 9783030739584 (print)ISBN: 9783030739591 (electronic)OAI: oai:DiVA.org:liu-175570DiVA, id: diva2:1553378
Conference
European Conference on Artificial Intelligence TAILOR Workshop - Foundations of Trustworthy AI
Available from: 2021-05-09 Created: 2021-05-09 Last updated: 2024-09-08Bibliographically approved

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Präntare, FredrikTiger, MattiasBergström, DavidHeintz, Fredrik

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Präntare, FredrikTiger, MattiasBergström, DavidAppelgren, HermanHeintz, Fredrik
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