Benchmark Electromagnetic Inverse Scattering by Using Differential Evolution – A Big Data Perspective

Authors

  • Anyong Qing School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China

Keywords:

Benchmark electromagnetic inverse scattering, differential evolution, parametric crime, parametric study, stochastic crime

Abstract

The benchmark electromagnetic inverse scattering problem is re-visited in this paper from a big data perspective. It serves as the benchmark application problem in systematic parametric study of differential evolution (DE). Representative strategies with a full sweeping of intrinsic control parameters are applied to draw a systematic picture of DE. Insights extracted from preliminary numerical results are presented to rebut the questionable statements and advise DE applicants.

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References

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Published

2020-04-01

How to Cite

[1]
Anyong Qing, “Benchmark Electromagnetic Inverse Scattering by Using Differential Evolution – A Big Data Perspective”, ACES Journal, vol. 35, no. 4, pp. 375–382, Apr. 2020.

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