The process of the optimization (MIGA).

<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. The quality of optimization of local optimization algorithms is often limited by the initial data. Moreover, the influence of struct...

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Bibliographic Details
Main Author:	Shangyang Jin (21772466) (author)
Other Authors:	Fuxing Chen (18338364) (author), Jie Bai (28269) (author), Bingfei Liu (7511231) (author)
Published:	2025
Subjects:	Biophysics Medicine Plasma Physics Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified peak frequency position optimize acoustic properties optimized metamaterial structure multiple structural parameters optimization method provides acoustic isolation bandwidth local optimization algorithm global optimization algorithm local optimization algorithms structural parameters local algorithm global algorithm original structure single algorithm optimization process optimization effect nlpql algorithm method improves dgn method acoustic performance xlink "> traditional algorithms strategy combines sound insulation simulation approach response function paper based optimization problem often limited new idea nearly 116 initial data ii ), ga ), complex structures
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The process of the optimization (MIGA).

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