A fast surrogate-assisted PSO algorithm for computationally expensive proble 閱讀筆記
PII: S1568-4946(20)30243-X DOI 目錄 本文貢獻 實驗背景 本文工作（FASPSO） 本文主要貢獻 FSAPSO算法詳解 模型管理 提出的基於不確定性的準則（The proposed uncertainty-based criterion） 本文貢獻 應用了兩種準則縱向應用來挑選精確評估過的候選人 準則1：基於性能的準則（performance-based criter
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相關文章
- 1. 閱讀筆記：《Computationally Efficient Neural Image Compression》
- 2. BP neural network optimized by PSO algorithm on Ammunition storage reliability prediction 閱讀筆記
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