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Author

Qianqian Duan

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#reinforcement learning Conference Oct 2026

A TSP solving model based on multiscale feature fusion and adaptive context awareness

Transformer-based deep reinforcement learning for the Traveling Salesman Problem (TSP) often struggles to capture spatial topology and avoid local optima. To address this, we propose a novel model featuring a Multi-Scale Grid Attention Encoder (MSGAE) to fuse local and global spatial features, alongside a bottleneck-en...

Ping-Ping Dai, Qian-Qian Duan · 0 citations
Open access Aug 2026

A solution method for the traveling salesman problem based on multi-scale features and dynamic optimization

A multi-scale deep optimization model based on an encoder-decoder architecture that validates the effectiveness of the multi-scale EMA and Triplet-Reasoning mechanisms, providing a new direction for deep learning-based graph optimization research.

Yu-Ting Xie, Qian-Qian Duan · 0 citations

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