Multiproblem surrogates : transfer evolutionary multiobjective optimization of computationally expensive problems

• Main Authors: Tan, Alan Wei Ming, Ong, Yew-Soon, Gupta, Abhishek, Goh, Chi-Keong
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Efficient Global Optimization (EGO); Knowledge Transfer
• 在線閱讀: https://hdl.handle.net/10356/139587

In most real-world settings, designs are often gradually adapted and improved over time. Consequently, there exists knowledge from distinct (but possibly related) design exercises, which have either been previously completed or are currently in-progress, that may be leveraged to enhance the optimiza...