A Study on Improving the Convergence of the Real-Coded Genetic Algorithm for Electromagnetic Inverse Scattering of Multiple Perfectly Conducting Cylinders

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概要

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• A study on improving the performance of the real-coded genetic algorithm for electromagnetic inverse scattering of two-dimensional perfectly conducting cylinders is presented. Three schemes, namely, the penalty function approach, the closed cubic B-splines local shape function approach and the adaptive hybrid algorithm approach are proposed to deal with the problem. These schemes can be used separately or be combined to improve the performance. Numerical examples validate the schemes.

• 社団法人電子情報通信学会の論文
• 2002-07-01

著者

• Lee Ching

  School Of Electrical And Electronic Engineering Nanyang Technological University

• QING Anyong

  Temasek Laboratories, National University of Singapore

• Qing Anyong

  Temasek Laboratories National University Of Singapore

関連論文

• A Study on Improving the Convergence of the Real-Coded Genetic Algorithm for Electromagnetic Inverse Scattering of Multiple Perfectly Conducting Cylinders

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