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Title: LDRD Final Report: Global Optimization for Engineering Science Problems

Abstract

For a wide variety of scientific and engineering problems the desired solution corresponds to an optimal set of objective function parameters, where the objective function measures a solution's quality. The main goal of the LDRD ''Global Optimization for Engineering Science Problems'' was the development of new robust and efficient optimization algorithms that can be used to find globally optimal solutions to complex optimization problems. This SAND report summarizes the technical accomplishments of this LDRD, discusses lessons learned and describes open research issues.

Authors:
Publication Date:
Research Org.:
Sandia National Labs., Albuquerque, NM (US); Sandia National Labs., Livermore, CA (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
15153
Report Number(s):
SAND99-2958
TRN: US200221%%252
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Dec 1999
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ENGINEERING; ALGORITHMS; OPTIMIZATION; ANALYTICAL SOLUTION; NUMERICAL SOLUTION

Citation Formats

HART,WILLIAM E. LDRD Final Report: Global Optimization for Engineering Science Problems. United States: N. p., 1999. Web. doi:10.2172/15153.
HART,WILLIAM E. LDRD Final Report: Global Optimization for Engineering Science Problems. United States. doi:10.2172/15153.
HART,WILLIAM E. Wed . "LDRD Final Report: Global Optimization for Engineering Science Problems". United States. doi:10.2172/15153. https://www.osti.gov/servlets/purl/15153.
@article{osti_15153,
title = {LDRD Final Report: Global Optimization for Engineering Science Problems},
author = {HART,WILLIAM E.},
abstractNote = {For a wide variety of scientific and engineering problems the desired solution corresponds to an optimal set of objective function parameters, where the objective function measures a solution's quality. The main goal of the LDRD ''Global Optimization for Engineering Science Problems'' was the development of new robust and efficient optimization algorithms that can be used to find globally optimal solutions to complex optimization problems. This SAND report summarizes the technical accomplishments of this LDRD, discusses lessons learned and describes open research issues.},
doi = {10.2172/15153},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Dec 01 00:00:00 EST 1999},
month = {Wed Dec 01 00:00:00 EST 1999}
}

Technical Report:

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