Dynamic differential evolution strategy and applications in electromagnetic inverse scattering problems

被引：139

作者：

Qing, AY ^{[1
]}

机构：

[1] Natl Univ Singapore, Temasek Labs, Singapore 117508, Singapore

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2006年 / 44卷 / 01期

关键词：

dynamic differential evolution strategy; electromagnetic inverse scattering;

D O I：

10.1109/TGRS.2005.859347

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A novel evolution algorithm, the dynamic differential evolution strategy, is developed to solve optimization problems. It inherits the genetic operators from the differential evolution strategy. However, it differs itself from the differential evolution strategy by updating its population dynamically while the differential evolution strategy updates its population generation by generation. The dynamic updating of population leads to a larger virtual population size and quicker response to change of population status. Two trial functions have been minimized using the dynamic differential evolution strategy. Comparison with the differential evolution strategy has been carried out. It has been observed that the dynamic differential evolution strategy significantly outperforms the differential evolution strategy in efficiency, robustness, and memory requirement. It is then applied to solve a benchmark electromagnetic inverse scattering problem. The outstanding performance of the dynamic differential evolution strategy is further consolidated.

引用

页码：116 / 125

页数：10

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