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Synthesis design of artificial magnetic metamaterials using a genetic algorithm
National Nano Device Laboratories, Hsinchu 30078, Taiwan.
Department of Computer Science, National Chiao-Tung University, Hsinchu 30050, Taiwan.
Department of Computer Science, National Chiao-Tung University, Hsinchu 30050, Taiwan.
National Nano Device Laboratories, Hsinchu 30078, Taiwan.
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2008 (English)In: Optics Express, ISSN 1094-4087, E-ISSN 1094-4087, Vol. 16, no 17, 12806-12818 p.Article in journal (Refereed) Published
Abstract [en]

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. © 2008 Optical Society of America.

Place, publisher, year, edition, pages
2008. Vol. 16, no 17, 12806-12818 p.
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Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-45467DOI: 10.1364/OE.16.012806OAI: oai:DiVA.org:liu-45467DiVA: diva2:266363
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-13

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Ni, Wei-Xin

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