Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-Kriging surrogate models
DOI10.1007/s10957-017-1114-3zbMath1380.49072OpenAlexW2612682155WikidataQ59612294 ScholiaQ59612294MaRDI QIDQ1682978
Prashant Singh, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene, Khairy Elsayed
Publication date: 6 December 2017
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-017-1114-3
computational fluid dynamics (CFD)gas cyclone separatormulti-fidelity datarecursive co-Krigingsparse Krigingsurrogate-based optimization (SBO)
Numerical methods based on nonlinear programming (49M37) Variational methods applied to problems in fluid mechanics (76M30) Variational principles of physics (49S05)
Related Items (5)
Uses Software
Cites Work
- Unnamed Item
- Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization
- Bistability analysis of an apoptosis model in the presence of nitric oxide
- SMS-EMOA: multiobjective selection based on dominated hypervolume
- Efficient global optimization of expensive black-box functions
- Shape optimization of a cyclone separator using multi-objective surrogate-based optimization
- The effect of cyclone vortex finder dimensions on the flow pattern and performance using LES
- Bayesian Calibration of Computer Models
- RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY
- Antenna Design by Simulation-Driven Optimization
This page was built for publication: Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-Kriging surrogate models