Genetic Algorithms Applied to the Design of 3D Photonic Crystals

被引：0
|
作者：
Morgado-Leon, Agustin [1 ]
Escuin, Alejandro [1 ]
Guerrero, Elisa [1 ]
Yanez, Andres [1 ]
Galindo, Pedro L. [1 ]
Sanchis, Lorenzo [2 ]
机构：
[1] Univ Cadiz, Dept Lenguajes & Sistemas Informat, Grp Sistemas Inteligentes Computac, CASEM, Puerto Real 11510, Cadiz, Spain
[2] Univ Valencia, UMDO Inst Ciencias Mat, Valencia 46071, Spain
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2011, PT I | 2011年 / 6691卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We aim at determining the optimal configuration of photonic crystal structures capable of carrying out a certain optical task. An exhaustive search would require a high computational cost, in this work we show how genetic algorithms can be applied to reliably find an optimal topology of three-dimensional photonic crystals. The fitness, representing the performance of each potential configuration, is calculated by means of finite element analysis. Different experiments are presented in order to illustrate the potential of this 3D design approach.
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收藏
页码：291 / 298
页数：8
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