Heuristic algorithms based on deep reinforcement learning for quadratic unconstrained binary optimization-Reference-Cited by-同舟云学术

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Heuristic algorithms based on deep reinforcement learning for quadratic unconstrained binary optimization

Published:2020-11 Issue: Volume:207 Page:106366
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Chen Ming,Chen Yuning,Du Yonghao,Wei Luona,Chen Yingwu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference42 articles.

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2. A new modeling and solution approach for the set-partitioning problem;Lewis;Comput. OR,2008

3. A new modeling and solution approach for the set-partitioning problem;Lewis;Comput. OR,2008

4. Minimization of a quadratic pseudo-Boolean function;Billionnet;European J. Oper. Res.,1994

5. Computational aspects of a branch and bound algorithm for quadratic zero-one programming;Pardalos;Computing,1990

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