Decomposition-Assisted Computational Technique Based on Surrogate Modeling for Real-Time Simulations
The development of complex simulation systems is extremely costly as it requires high computational capability and expensive hardware. As cost is one of the main issues in developing simulation components, achieving real-time simulation is challenging and it often leads to intensive computational bu...
Saved in:
| Main Authors: | Nariman Fouladinejad, Nima Fouladinejad, Mohamad Kasim Abdul Jalil, Jamaludin Mohd Taib |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/1686230 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tool-assisted Surrogate Selection for Simulation Models in Energy Systems
by: Stephan Balduin, et al.
Published: (2019-09-01) -
Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization
by: Zan Yang, et al.
Published: (2025-01-01) -
State information-driven surrogate-assisted differential evolution for computationally expensive constrained optimization problems
by: Zihua Zhu, et al.
Published: (2025-06-01) -
Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms
by: Yuki Hanawa, et al.
Published: (2025-09-01) -
Surrogate Model for In-Medium Similarity Renormalization Group Method Using Dynamic Mode Decomposition
by: Sota Yoshida
Published: (2025-02-01)