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Title: Parallel Algorithms and Optimization for Protection of Critical Infrastructure.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1399326
Report Number(s):
SAND2016-10032PE
648080
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Invited seminar at National Renewable Energy Laboratory held October 3, 2016 in Golden, CO.
Country of Publication:
United States
Language:
English

Citation Formats

Laird, Carl Damon. Parallel Algorithms and Optimization for Protection of Critical Infrastructure.. United States: N. p., 2016. Web.
Laird, Carl Damon. Parallel Algorithms and Optimization for Protection of Critical Infrastructure.. United States.
Laird, Carl Damon. 2016. "Parallel Algorithms and Optimization for Protection of Critical Infrastructure.". United States. doi:. https://www.osti.gov/servlets/purl/1399326.
@article{osti_1399326,
title = {Parallel Algorithms and Optimization for Protection of Critical Infrastructure.},
author = {Laird, Carl Damon},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month =
}

Conference:
Other availability
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  • Today’s society relies upon an array of complex national and international infrastructure networks such as transportation, telecommunication, financial and energy. Understanding these interdependencies is necessary in order to protect our critical infrastructure. The Critical Infrastructure Modeling System, CIMS©, examines the interrelationships between infrastructure networks. CIMS© development is sponsored by the National Security Division at the Idaho National Laboratory (INL) in its ongoing mission for providing critical infrastructure protection and preparedness. A genetic algorithm (GA) is an optimization technique based on Darwin’s theory of evolution. A GA can be coupled with CIMS© to search for optimum ways to protect infrastructure assets.more » This includes identifying optimum assets to enforce or protect, testing the addition of or change to infrastructure before implementation, or finding the optimum response to an emergency for response planning. This paper describes the addition of a GA to infrastructure modeling for infrastructure planning. It first introduces the CIMS© infrastructure modeling software used as the modeling engine to support the GA. Next, the GA techniques and parameters are defined. Then a test scenario illustrates the integration with CIMS© and the preliminary results.« less
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  • No abstract prepared.