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Hierarchical optimization in isotope separation-gaseous diffusion: plant, cascade, stage, principles, and applications

Abstract

The large scale system represented by a gaseous diffusion plant model, and its hierarchical mathematical structure are the reasons for a decomposition method, minimizing the total cost of enrichment. This procedure has been used for years in the optimization problems of the french projects.
Authors:
Publication Date:
Sep 01, 1975
Product Type:
Conference
Report Number:
CEA-CONF-3034; CONF-750324-5
Reference Number:
NSA-32-017300
Resource Relation:
Conference: International conference on uranium isotope separation, London, UK, 5 Mar 1975
Subject:
N47120* -Isotope & Radiation Source Technology-Isotope Separation (Industrial)-Uranium; GASEOUS DIFFUSION PROCESS; OPTIMIZATION; URANIUM 235; ISOTOPE SEPARATION; FRANCE; N47120* -Isotope & Radiation Source Technology-Isotope Separation (Industrial)-Uranium
Sponsoring Organizations:
Sponsor not identified
OSTI ID:
4952544
Research Organizations:
CEA, 75 - Paris (France)
Country of Origin:
France
Language:
English
Submitting Site:
FRN
Size:
Pages: 14
Announcement Date:
Dec 31, 1975

Citation Formats

Guais, J. C. Hierarchical optimization in isotope separation-gaseous diffusion: plant, cascade, stage, principles, and applications. France: N. p., 1975. Web.
Guais, J. C. Hierarchical optimization in isotope separation-gaseous diffusion: plant, cascade, stage, principles, and applications. France.
Guais, J. C. 1975. "Hierarchical optimization in isotope separation-gaseous diffusion: plant, cascade, stage, principles, and applications." France.
@misc{etde_4952544,
title = {Hierarchical optimization in isotope separation-gaseous diffusion: plant, cascade, stage, principles, and applications}
author = {Guais, J. C.}
abstractNote = {The large scale system represented by a gaseous diffusion plant model, and its hierarchical mathematical structure are the reasons for a decomposition method, minimizing the total cost of enrichment. This procedure has been used for years in the optimization problems of the french projects.}
place = {France}
year = {1975}
month = {Sep}
}