Pretrained Parameter Configurator for Large Neighborhood Search to Solve Weighted Constraint Satisfaction Problems-Reference-Cited by-同舟云学术

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Pretrained Parameter Configurator for Large Neighborhood Search to Solve Weighted Constraint Satisfaction Problems

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Gao Junsong¹,Chen Ziyu¹,Zhang Cheng¹

Affiliation:

1. College of Computer Science, Chongqing University,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191732.pdf?arnumber=10191732

Reference49 articles.

1. Existential arc consistency: getting closer to full arc consistency in weighted CSPs;de givry;IJCAI,2005

2. RMBDPOP: refining MB-DPOP by reducing redundant inference;chen;AAMAS,2020

3. Mini-buckets

4. In the quest of the best form of local consistency for weighted CSP;larrosa;IJCAI,2003

5. Existential arc consistency: getting closer to full arc consistency in weighted CSPs;de givry;IJCAI,2005

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