increase the ability of our trained Graph Neural Network (GNN) model to find feasible solutions for the problem from 14% to over 88%
这是一个惊人的性能提升,从14%到88%的可行解发现能力增加了约6倍。这表明AlphaEvolve在电网优化问题上有突破性进展,显著减少了电网后处理步骤的需求,可能带来巨大的能源效率提升。
increase the ability of our trained Graph Neural Network (GNN) model to find feasible solutions for the problem from 14% to over 88%
这是一个惊人的性能提升,从14%到88%的可行解发现能力增加了约6倍。这表明AlphaEvolve在电网优化问题上有突破性进展,显著减少了电网后处理步骤的需求,可能带来巨大的能源效率提升。
It helped increase the ability of our trained Graph Neural Network (GNN) model to find feasible solutions for the problem from 14% to over 88%
在电网 AC 最优潮流问题上,AlphaEvolve 将 GNN 模型找到可行解的成功率从 14% 提升到 88% 以上——提升幅度超过 6 倍,是迄今 AI 在能源基础设施优化中记录到的最大突破之一。