Memetic algorithm using multiple surrogates for complex engineering design optimization
Complex engineering design (CED) optimization problems in science and engineering commonly have large design spaces. In such design spaces, typically thousands of exact fitness evaluations are required to locate a near optimal design. Often in photonics, electromagnetic, aerospace, biomedical and mi...
Saved in:
Main Author: | Zhou, Zongzhao |
---|---|
Other Authors: | Ong Yew Soon |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/13587 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Memetic algorithms for feature/gene selection
by: Zhu, Zexuan
Published: (2008) -
Adaptive and formal memetic frameworks.
by: Nguyen, Quang Huy.
Published: (2011) -
Evolution by adapting surrogates
by: Ong, Yew Soon, et al.
Published: (2014) -
Self-configurable memetic algorithm
by: Le, Minh Nghia
Published: (2012) -
Combining global and local surrogate models to accelerate evolutionary optimization
by: Zhou, Zongzhao, et al.
Published: (2021)