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pro vyhledávání: '"Garmendia, Andoni I."'
Publikováno v:
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 (2024) 6931-6939
Neural Combinatorial Optimization (NCO) is an emerging domain where deep learning techniques are employed to address combinatorial optimization problems as a standalone solver. Despite their potential, existing NCO methods often suffer from inefficie
Externí odkaz:
http://arxiv.org/abs/2408.02207
Recent advances in graph neural network architectures and increased computation power have revolutionized the field of combinatorial optimization (CO). Among the proposed models for CO problems, Neural Improvement (NI) models have been particularly s
Externí odkaz:
http://arxiv.org/abs/2206.00383
Neural Combinatorial Optimization attempts to learn good heuristics for solving a set of problems using Neural Network models and Reinforcement Learning. Recently, its good performance has encouraged many practitioners to develop neural architectures
Externí odkaz:
http://arxiv.org/abs/2205.01356
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