Generalizing Surrogate-Assisted Evolutionary Computation
title: Generalizing Surrogate-Assisted Evolutionary Computation 算法簡介 A.集成模型 不完善的代理模型會造成"curse of uncertainty"(不確定性的詛咒)。本文作者追求可以找到能夠針對不同問題生成可靠的適應度預測的代理模型。 有些問題，我們無法提前知道那種適應度近似技術是最適合當前的優化問題，所以考慮
相關文章
- 1. Evolutionary Computation in Java的安裝與使用（初試）
- 2. Evolutionary Computing: 5. Evolutionary Strategies(1)
- 3. C4-Numerical Computation
- 4. COMP30026 Models of Computation
- 5. Evolutionary approaches towards AI: past, present, and future
- 6. 1. What is computation thinking ?
- 7. the power of compile computation
- 8. visual rect computation of element
- 9. EA-LSTM: Evolutionary attention-based LSTM for time series prediction
- 10. Lecture 4: Backpropagation and computation graphs
- 更多相關文章...
- • RxJava操作符（一）Creating Observables
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Evolutionary Computation in Java的安裝與使用（初試）
- 2. Evolutionary Computing: 5. Evolutionary Strategies(1)
- 3. C4-Numerical Computation
- 4. COMP30026 Models of Computation
- 5. Evolutionary approaches towards AI: past, present, and future
- 6. 1. What is computation thinking ?
- 7. the power of compile computation
- 8. visual rect computation of element
- 9. EA-LSTM: Evolutionary attention-based LSTM for time series prediction
- 10. Lecture 4: Backpropagation and computation graphs