Evolution by adapting surrogates

• Main Authors: Ong, Yew Soon, Le, Minh Nghia, Menzel, Stefan, Jin, Yaochu, Sendhoff, Bernhard
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
• Online Access: https://hdl.handle.net/10356/98489; http://hdl.handle.net/10220/18584
• Institution: Nanyang Technological University

To deal with complex optimization problems plagued with computationally expensive fitness functions, the use of surrogates to replace the original functions within the evolutionary framework is becoming a common practice. However, the appropriate datacentric approximation methodology to use for the...