DocumentCode
1636917
Title
Parallel implementation of niched Pareto genetic algorithm code for X-ray plasma spectroscopy
Author
Golovkin, Igor E. ; Louis, Sushil J. ; Mancini, Roberto C.
Author_Institution
Fusion Technol. Inst., Wisconsin Univ., Madison, WI, USA
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1820
Lastpage
1824
Abstract
We use a Pareto optimal genetic algorithm to determine plasma temperature and density through X-ray spectroscopic diagnostics. Pareto selection provides better solutions compared with linear combinations of the two optimization criteria. Parallelizing the genetic algorithm achieves linear speed-up and allows larger populations resulting in improved reliability in reasonable running time
Keywords
X-ray spectroscopy; genetic algorithms; parallel programming; plasma density; plasma diagnostics; plasma temperature; spectroscopy computing; Pareto selection; X-ray plasma spectroscopy diagnostics; linear speed-up; niched Pareto optimal genetic algorithm code; parallelization; plasma density; plasma temperature; reliability; Data analysis; Genetic algorithms; Hydrodynamics; Pareto optimization; Plasma density; Plasma measurements; Plasma properties; Plasma temperature; Plasma x-ray sources; Spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004519
Filename
1004519
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