escaping-forests-using-evolutionary-computation
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The presented dataset comprises experimental outcomes illustrating the efficacy of an optimal Evolutionary Algorithm in constructing escape paths for the Bellman forest problem. This empirical investigation aims to shed light on the performance characteristics of the algorithm, specifically its capacity to generate efficient and effective routes under various scenario conditions.
本数据集收录了实验结果,用以说明最优进化算法(Evolutionary Algorithm)在构建贝尔曼森林问题(Bellman forest problem)逃生路径方面的有效性。本次实证研究旨在阐明该算法的性能特征,具体而言即其在多种场景条件下生成高效且有效路径的能力。
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Zenodo创建时间:
2025-08-27



