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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004519
