soogo (Surrogate-based 0-th Order Global Optimization) [SWR-24-57]
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Surrogate-based 0-th Order Global Optimization for black-box problems. This software is comprised of active learning algorithms based on surrogate models to solve black-box optimization problems and other scientific applications. See also: https://pypi.org/project/soogo/
- Short Name / Acronym:
- soogo
- Site Accession Number:
- NREL SWR-24-57
- Software Type:
- Scientific
- License(s):
- GNU General Public License v3.0
- Programming Language(s):
- Jupyter Notebook; R; Python
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOEPrimary Award/Contract Number:AC36-08GO28308
- DOE Contract Number:
- AC36-08GO28308
- Code ID:
- 132772
- OSTI ID:
- code-132772
- Country of Origin:
- United States
Similar Records
MISO - Mixed Integer Surrogate Optimization
Surrogate Optimization of Computationally Expensive Black-Box Problems with Hidden Constraints (SHEBO) v1.0
Software
·
Wed Jan 20 00:00:00 EST 2016
·
OSTI ID:1239112
Surrogate Optimization of Computationally Expensive Black-Box Problems with Hidden Constraints (SHEBO) v1.0
Software
·
Sun Oct 13 20:00:00 EDT 2019
·
OSTI ID:code-31296