標題: Synthesis design of artificial magnetic metamaterials using a genetic algorithm
作者: Chen, P. Y.
Chen, C. H.
Wang, H.
Tsai, J. H.
Ni, W. X.
資訊工程學系
Department of Computer Science
公開日期: 18-八月-2008
摘要: In this article, we present a genetic algorithm (GA) as one branch of artificial intelligence (AI) for the optimization-design of the artificial magnetic metamaterial whose structure is automatically generated by computer through the filling element methodology. A representative design example, metamaterials with permeability of negative unity, is investigated and the optimized structures found by the GA are presented. It is also demonstrated that our approach is effective for the synthesis of functional magnetic and electric metamaterials with optimal structures. This GA-based optimization-design technique shows great versatility and applicability in the design of functional metamaterials. (C) 2008 Optical Society of America.
URI: http://dx.doi.org/10.1364/OE.16.012806
http://hdl.handle.net/11536/8459
ISSN: 1094-4087
DOI: 10.1364/OE.16.012806
期刊: OPTICS EXPRESS
Volume: 16
Issue: 17
起始頁: 12806
結束頁: 12818
顯示於類別:期刊論文


文件中的檔案:

  1. 000259268700042.pdf