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English(EN) Simultaneously Efficient Allocation of Indivisible Items Across Multiple Dimensions

新的MDEA模型解决了复杂多属性物品分配问题

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新论文介绍了一种多维高效分配（MDEA）模型，用于解决具有多个属性的物品的复杂分配问题。该研究探讨了功利性社会福利（USW）和平均主义社会福利（ESW）目标下的联合效率。研究结果表明，同时优化多个维度具有挑战性，近似解受维度数量的限制，即使是决定两个维度的联合优化也可能是NP-hard问题。 AI

影响 这项研究可以为未来设计用于复杂资源或任务分配的AI系统提供信息。

排序理由 该集群包含一篇详细介绍新的分配问题模型的论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的MDEA模型解决了复杂多属性物品分配问题

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该集群包含一篇详细介绍新的分配问题模型的论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Mohammad Azharuddin Sanpui ·

    多维度不可分割物品的同时高效分配

    Many allocation problems are intrinsically multidimensional, since an item may contribute differently to several criteria, and optimizing a single aggregate objective can hide severe losses in other dimensions. We study how much efficiency can be guaranteed simultaneously when in…

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