Classifier-Guided Sampling Optimizer v. 1.0
Software
·
OSTI ID:1351602
- Sandia National Laboratories
The Classifier-Guided Sampling (CGS) Optimizer is a software implementation of the CGS algorithm, a type of evolutionary algorithm for performing search and optimization over a set of discrete design variables in the face of one or more objective functions.
- Short Name / Acronym:
- CGS Optimizer; 005218MLTPL00
- Site Accession Number:
- SCR #2189
- Version:
- 00
- Programming Language(s):
- Medium: X; OS: The CGS Optimizer is being released as C++ source code that may be compiled for any operating system.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1351602
- Country of Origin:
- United States
Similar Records
Classifier-Guided Sampling for Complex Energy System Optimization
Classifier-guided sampling for discrete variable, discontinuous design space exploration: Convergence and computational performance
Building Restoration Operations Optimization Model Beta Version 1.0
Technical Report
·
Tue Sep 01 00:00:00 EDT 2015
·
OSTI ID:1351602
Classifier-guided sampling for discrete variable, discontinuous design space exploration: Convergence and computational performance
Journal Article
·
Tue Apr 22 00:00:00 EDT 2014
· Engineering Optimization
·
OSTI ID:1351602
Building Restoration Operations Optimization Model Beta Version 1.0
Software
·
Thu May 31 00:00:00 EDT 2007
·
OSTI ID:1351602