Xiaogang Zeng

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This paper describes a methodology based on genetic algorithms for the solution of inverse problems pertaining to the identiication of aw shapes and the reconstruction of boundary conditions in a continua. Such problems often arise in scientiic research or engineering practice. By using a genetic algorithm we avoid the weakness of the traditional gradient(More)
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