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Indexed by:期刊论文

Date of Publication:2022-06-29

Journal:大连理工大学学报

Issue:2

Page Number:252-256

ISSN No.:1000-8608

Abstract:For the parameters identification of dynamic problems, the convergence and convergence velocity could be improved through the creating of new self-adaptive genetic operators and the coupling with the idea of pseudo-parallel genetic algorithms by the introduction of a new index which can reflect the diversity of population in genetic algorithms. With the APDL (ANSYS parametic design language) parameter programme of ANSYS, the improving genetic algorithms were applied to the identification of dynamic parameters successfully. Practical example shows that the method has a great advantage and has a strong anti-noise ability, and it can be used in engineering practice.

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