高效多目标优化 (TSEMO) 算法.zip
高效多目标优化 (TSEMO) 算法
该存储库包含“Thompson 采样高效多目标优化”（TSEMO）算法 [1] 的源代码。
该算法专为评估成本高的黑盒函数的全局多目标优化而设计。例如，该算法已应用于生命周期评估 (LCA) 和化学过程模拟成本的同步优化 [2]。但是，该算法也可以应用于其他黑盒功能，例如 CFD 模拟。它基于贝叶斯优化方法，构建高斯过程代理模型以加速优化。此外，该算法可以在每次迭代（批量顺序模式）中识别出几个有希望的点。这允许并行评估多个模拟。
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