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New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem.

, , and . IJCAI, page 1927-1934. ijcai.org, (2023)

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Emergence of New Local Search Algorithms with Neuro-Evolution., , , and . EvoStar, volume 14632 of Lecture Notes in Computer Science, page 33-48. Springer, (2024)On Monte Carlo Tree Search for Weighted Vertex Coloring., , and . EvoCOP, volume 13222 of Lecture Notes in Computer Science, page 1-16. Springer, (2022)Discriminant Learning Machines., , , and . Cause Effect Pairs in Machine Learning, Springer, (2019)Causal Discovery Toolbox: Uncovering causal relationships in Python., , and . J. Mach. Learn. Res., (2020)A deep learning guided memetic framework for graph coloring problems., , and . Knowl. Based Syst., (2022)Population-based gradient descent weight learning for graph coloring problems., , and . Knowl. Based Syst., (2021)A Memetic Algorithm for Deinterleaving Pulse Trains., , , and . EvoCOP, volume 13987 of Lecture Notes in Computer Science, page 66-81. Springer, (2023)New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem., , and . IJCAI, page 1927-1934. ijcai.org, (2023)Causal Generative Neural Networks, , , , , and . (2017)cite arxiv:1711.08936.Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring., , and . EvoCOP, volume 13987 of Lecture Notes in Computer Science, page 98-113. Springer, (2023)