Stress-Relief Annealing: Polynomial-Time Simulation-Free Layout Optimization for Automated Warehouses
We study the problem of optimizing physical layouts for automated warehouses, where hundreds to thousands of robots are coordinated to transport packages. Previous works have shown that optimizing the warehouse layout (e.g., the physical location of the storage shelves) significantly improves throughput. However, state-of-the-art layout optimization approaches are based on evolutionary optimization methods, which treat the entire warehouse as a black box and rely on random mutation to search for high-quality layouts. While the optimization outcomes are promising, these methods require a massive number of simulations to evaluate candidate solutions, making them sample-inefficient. In this ...
| Authors | Xiangjie Luo, Yulun Zhang, Miyuki Koshimura et al. |
|---|---|
| Primary category | cs.MA |
| Published | 2 August 2026 |
| Last updated at source | 2 August 2026 |
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