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English(EN) From Validator Selection to Portfolio Collection Optimization in Proof-of-Stake Blockchains

区块链验证者选择框架优化效用和风险

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一个框架来优化权益证明区块链中的验证者选择，解决了管理多个账户的提名者复杂的决策过程。该系统旨在平衡最大化所选验证者的预期效用与增加分配的熵以实现风险分散。它采用主动偏好学习和多目标进化算法来解决这个双目标优化问题，并提供交互式导航程序，帮助用户找到满意的权衡。 AI

影响 引入了一种新颖的区块链验证者选择优化方法，有可能改善网络参与者的风险管理和盈利能力。

排序理由 该集群包含一篇详细介绍特定技术问题新优化框架的学术论文。

在 arXiv cs.AI 阅读 →

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区块链验证者选择框架优化效用和风险

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该集群包含一篇详细介绍特定技术问题新优化框架的学术论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jonas Gehrlein, Grzegorz Miebs, Matteo Brunelli, Adam Mielniczuk, Mi{\l}osz Kadzi\'nski ·

    从验证者选择到权益证明区块链中的投资组合收集优化

    arXiv:2606.08282v1 Announce Type: new Abstract: We consider a problem arising in proof-of-stake blockchain environments, where agents called nominators select validators - entities responsible for maintaining the blockchain's physical infrastructure. The selection process is inhe…

  2. arXiv cs.AI TIER_1 English(EN) · Miłosz Kadziński ·

    从验证者选择到权益证明区块链中的投资组合收集优化

    We consider a problem arising in proof-of-stake blockchain environments, where agents called nominators select validators - entities responsible for maintaining the blockchain's physical infrastructure. The selection process is inherently subjective and multi-criterial and combin…

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