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Lightweight population-based policy optimization for pickup and delivery problems
DOI:10.1016/j.cie.2025.111376.png)
Abstract
En 中文
• Lightweight population-based neural construction solver enhances search diversity for PDP variants. • Dynamic neighborhood masking facilitates more precise node selection. • Hypernetwork-guided feature prioritization refines solution construction. • Clustering search scheme boosts search efficiency and solution quality. • Outperforms SOTA neural models and heuristic LKH3 on synthetic and benchmark datasets for PDP variants.
Journal
IF:
6.5
Papers:
1.0W
Citations:
3.8W
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