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.
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