Solving Optimization Problems Through Fully Convolutional Networks: An Application to the Traveling Salesman Problem

In the new wave of artificial intelligence, deep learning is impacting various industries. As a closely related area, optimization algorithms greatly contribute to the development of deep learning. But the reverse applications are still insufficient. Is there any efficient way to solve certain optim...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2021-12, Vol.51 (12), p.7475-7485
Hauptverfasser:	Ling, Zhengxuan, Tao, Xinyu, Zhang, Yu, Chen, Xi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Deep learning Feature extraction fully convolutional network (FCN) Heuristic algorithms Image processing Image resolution Machine learning mapping Neural networks Optimization Representations Training traveling salesman Traveling salesman problem Urban areas
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