Nature-based optimization of 2d negative-index metamaterials

D. Kwon, Zikri Bayraktar, D. Werner, U. Chettiar, A. Kildishev, V. Shalaev
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引用次数: 2

Abstract

This paper applies two nature-based optimization techniques - the genetic algorithm (GA) in the work of Haupt and Haupt (2004) and particle swarm optimization (PSO) in the work of Kennedy and Eberhart (2001) - to the design of a two-dimensional IR-visible metamaterial using realistic bulk silver parameters by maximizing a properly-defined figure of merit.
二维负折射率超材料的自然优化
本文将两种基于自然的优化技术——Haupt和Haupt(2004)工作中的遗传算法(GA)和Kennedy和Eberhart(2001)工作中的粒子群优化(PSO)——应用于利用实际体银参数通过最大化适当定义的价值值来设计二维红外可见超材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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