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Title: Classifier-Guided Sampling Optimizer v. 1.0

Abstract

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.

Authors:
 [1]
  1. Sandia National Laboratories
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1351602
Report Number(s):
CGS Optimizer; 005218MLTPL00
SCR #2189
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Software
Software Revision:
00
Software Package Number:
005218
Software CPU:
MLTPL
Open Source:
Yes
Source Code Available:
Yes
Country of Publication:
United States

Citation Formats

Backlund, Peter B. Classifier-Guided Sampling Optimizer v. 1.0. Computer software. https://www.osti.gov//servlets/purl/1351602. Vers. 00. USDOE. 14 Mar. 2017. Web.
Backlund, Peter B. (2017, March 14). Classifier-Guided Sampling Optimizer v. 1.0 (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1351602.
Backlund, Peter B. Classifier-Guided Sampling Optimizer v. 1.0. Computer software. Version 00. March 14, 2017. https://www.osti.gov//servlets/purl/1351602.
@misc{osti_1351602,
title = {Classifier-Guided Sampling Optimizer v. 1.0, Version 00},
author = {Backlund, Peter B.},
abstractNote = {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.},
url = {https://www.osti.gov//servlets/purl/1351602},
doi = {},
year = {Tue Mar 14 00:00:00 EDT 2017},
month = {Tue Mar 14 00:00:00 EDT 2017},
note =
}

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