Titlebook: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 15th International C Willem-Jan van Hoeve Conferen

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Learning Heuristics for the TSP by Policy Gradient,roposed framework alone is generally as good as high performance heuristics (OR-Tools). When the framework is equipped with a simple 2-opt procedure, it could outperform such heuristics and achieve close to optimal results on 2D Euclidean graphs. This demonstrates that our approach based on machine

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Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study,l declarative model. This research line is still at an early stage, and a number of complex issues remain open. Nevertheless, we already have intriguing results on the classical Partial Latin Square and N-Queen completion problems.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468836.jpg

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978-3-319-93030-5Springer International Publishing AG, part of Springer Nature 2018

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https://doi.org/10.1007/978-3-319-93031-2approximation algorithms; artificial intelligence; combinatorial mathematics; combinatorial optimizatio

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