新陈代谢 发表于 2025-3-25 04:04:20
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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 machineNAG 发表于 2025-3-25 16:46:14
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.实现 发表于 2025-3-25 21:50:53
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468836.jpgEssential 发表于 2025-3-26 07:44:44
978-3-319-93030-5Springer International Publishing AG, part of Springer Nature 2018Unsaturated-Fat 发表于 2025-3-26 09:37:28
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https://doi.org/10.1007/978-3-319-93031-2approximation algorithms; artificial intelligence; combinatorial mathematics; combinatorial optimizatioenchant 发表于 2025-3-26 19:33:48
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