提出块状启发式算法，高效优化核废料容器空间与辐射防护。
A Block-Based Heuristic Algorithm for the Three-Dimensional Nuclear Waste Packing Problem
- 将废料分块处理，通过启发式搜索优化堆叠方案。
- 在1600个实例上验证，空间利用率提升且辐射剂量更低。
- 开源代码与数据集，适合核能安全与优化领域研究者使用。
本研究针对现实核电站中的核废料容器装填问题，提出一种基于块的启发式搜索算法。同时，构建了一个包含1600个问题实例的数据集，供后续研究使用。在该数据集上的实验结果表明，所提算法能有效提升处置池的空间利用率，并降低池内辐射剂量。本研究所用代码与数据已公开，以支持可复现性及进一步研究。
原文摘要 · Abstract (English)
In this study, we present a block-based heuristic search algorithm to address the nuclear waste container packing problem in the context of real-world nuclear power plants. Additionally, we provide a dataset comprising 1600 problem instances for future researchers to use. Experimental results on this dataset demonstrate that the proposed algorithm effectively enhances the disposal pool's space utilization while minimizing the radiation dose within the pool. The code and data employed in this study are publicly available to facilitate reproducibility and further investigation.
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