Multiproblem surrogates : transfer evolutionary multiobjective optimization of computationally expensive problems

• المؤلفون الرئيسيون: Tan, Alan Wei Ming, Ong, Yew-Soon, Gupta, Abhishek, Goh, Chi-Keong
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Efficient Global Optimization (EGO); Knowledge Transfer
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/139587
• المؤسسة: Nanyang Technological University

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...