Automatic algorithm selection for Pseudo-Boolean optimization with given computational time limits-Reference-Cited by-同舟云学术

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Automatic algorithm selection for Pseudo-Boolean optimization with given computational time limits

Published:2025-01 Issue: Volume:173 Page:106836
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Pezo Catalina^ORCID,Hochbaum Dorit^ORCID,Godoy Julio^ORCID,Asín-Achá Roberto

Funder

National Science Foundation

Publisher

Elsevier BV

Reference59 articles.

1. Multi-agent path finding: A new boolean encoding;Achá;J. Artificial Intelligence Res.,2022

2. A systematic review on supervised and unsupervised machine learning algorithms for data science;Alloghani;Superv. Unsupervised Learn. Data Sci.,2020

3. Machine learning;Alpaydin,2021

4. Sequential time splitting and bounds communication for a portfolio of optimization solvers;Amadini,2014

5. Improving SAT-based weighted maxsat solvers;Ansótegui,2012

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