Applying Genetic Algorithm to Determine Parameters in Equation of State

JIANG Hou-Man; ZHANG Ruo-Qi; ZHANG Shou-Qi

doi:10.11858/gywlxb.1998.01.008

Volume 12 Issue 1

May. 2015

Turn off MathJax

Article Contents

Chinese Journal of High Pressure Physics > 1998 > 12(1): 47-53 .

JIANG Hou-Man, ZHANG Ruo-Qi, ZHANG Shou-Qi. Applying Genetic Algorithm to Determine Parameters in Equation of State[J]. Chinese Journal of High Pressure Physics, 1998, 12(1): 47-53 . doi: 10.11858/gywlxb.1998.01.008

Citation:

JIANG Hou-Man, ZHANG Ruo-Qi, ZHANG Shou-Qi. Applying Genetic Algorithm to Determine Parameters in Equation of State[J]. Chinese Journal of High Pressure Physics, 1998, 12(1): 47-53 . doi: 10.11858/gywlxb.1998.01.008

Citation:

PDF( 3908 KB)

Applying Genetic Algorithm to Determine Parameters in Equation of State

doi: 10.11858/gywlxb.1998.01.008

1.
Department of Applied Physics, NUDT, Changsha 410073, China;
2.
China Academy of Engineering Physics, Chengdu 610003, China

More Information

Corresponding author: JIANG Hou-Man
Received Date: 24 Apr 1997
Rev Recd Date: 15 Sep 1997
Issue Publish Date: 05 Mar 1998

Abstract

Abstract

Genetic algorithms (GA), emulating the wonderful mechanism of evolution and natural selection of living organisms in nature, are regarded to be among the most promising optimization techniques. In this paper, a genetic algorithm was implemented to decide the target Grneisen-Hugoniot EOS parameters, using the stress history recorded with a Lagrangian gauge in a plane impact experiment. The results are in good agreement with the corresponding actual values. Comparison is made between the optimized results using GA and those obtained using BFGS with different initial iteration points.
- nonlinear optimization,
- equation of state,
- genetic algorithm