Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
10.1007/s10898-015-0270-y
Saved in:
Main Authors: | Akhtar, T, Shoemaker, C.A |
---|---|
Other Authors: | NUS ENVIRONMENTAL RESEARCH INSTITUTE |
Format: | Article |
Published: |
Springer New York LLC
2020
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/179627 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems
by: Krityakierne, T, et al.
Published: (2020) -
SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
by: LIU LIMENG
Published: (2021) -
SURROGATE-ASSISTED ALGORITHMS FOR COMPUTATIONALLY EXPENSIVE MULTI- AND MANY-OBJECTIVE GLOBAL OPTIMIZATION PROBLEMS
by: WANG WENYU
Published: (2022) -
PARTIAL RESTART STRATEGIES FOR GLOBAL OPTIMIZATION ALGORITHMS ON COMPUTATIONALLY EXPENSIVE PROBLEMS
by: LIU NANXI
Published: (2023) -
Combining global and local surrogate models to accelerate evolutionary optimization
by: Zhou, Z., et al.
Published: (2014)