Combined global and local search for optimization with gaussian process models
Year of publication: |
2022
|
---|---|
Authors: | Meng, Qun ; Wang, Songhao ; Ng, Szu-hui |
Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 1, p. 622-637
|
Subject: | simulation optimization | Gaussian process | global and local search | Simulation | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Stochastischer Prozess | Stochastic process | Globalisierung | Globalization |
-
Efficient global optimization and the zero-gradient condition, in expensive simulation
Angün, Mevlüde Ebru, (2024)
-
Stochastic intrinsic kriging for simulation metamodelling
Mehdad, Ehsan, (2014)
-
Duan, Qinglin, (2013)
- More ...
-
An extended Two-Stage Sequential Optimization approach : properties and performance
Pedrielli, Giulia, (2020)
-
A multilevel simulation optimization approach for quantile functions
Wang, Songhao, (2022)
-
Research on financial early warning of listed corporation based on SOM fusion BP neural network
Meng, Qun, (2016)
- More ...