Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10728728 | Physics Letters A | 2014 | 8 Pages |
Abstract
The multiple elitist genetic algorithm with the adaptive fuzzy fitness granulation (AFFG) is used to design the phononic crystals with large relative bandgap width (BGW) for combined out-of-plane and in-plane wave modes. Without assumption on the symmetry of the unit-cell, we obtain an asymmetrical phononic crystal with the relative BGW which is quite larger than that of the optimized symmetrical structure. With the help of AFFG, the number of the fitness function evaluations is reduced by over 50% and the procedure converges 5 times faster than the conventional evolutionary algorithm to reach the same final fitness values.
Related Topics
Physical Sciences and Engineering
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Physics and Astronomy (General)
Authors
Hao-Wen Dong, Xiao-Xing Su, Yue-Sheng Wang, Chuanzeng Zhang,