Multi-objective optimization framework for designing photonic crystal sensors

Safdari Mohammad Javad; Mirjalili Seyed Mohammad; Bianucci Pablo; Zhang Xiupu

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Multi-objective optimization framework for designing photonic crystal sensors

机译：光子晶体传感器的多目标优化框架

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In this paper, a novel framework for designing optimized photonic crystal (PhC) sensors has been proposed. The complexity of such structures has resulted in the lack of an analytical method to design the structures. Therefore, this framework aims to provide a comprehensive and automatic method to find the best values for the structural parameters without human involvement. The framework is explained with an example of designing a PhC liquid sensor. In the framework, an optimizer called the "multi-objective gray wolf optimizer" is utilized. However, a diverse range of multi-objective optimizer algorithms could be utilized. The results show that the proposed framework can design any kind of PhC sensor. Simplicity, being straightforward, and no human involvement are the advantages of the proposed framework. In addition, a significantly wide range of optimal designs will be found that are suitable for general and specific applications. (C) 2018 Optical Society of America

机译：本文已经提出了一种用于设计优化光子晶体（PHC）传感器的新框架。这种结构的复杂性导致缺乏设计结构的分析方法。因此，该框架旨在提供全面和自动的方法，以找到结构参数的最佳价值，而不会人类参与。用设计PHC液体传感器的示例来解释该框架。在框架中，使用称为“多目标灰色狼优化器”的优化器。然而，可以使用各种多目标优化器算法。结果表明，所提出的框架可以设计任何类型的PHC传感器。简单性，直截了当，没有人类参与是所提出的框架的优势。此外，将发现适用于一般和特定应用的显着广泛的最佳设计。（c）2018年光学学会

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来源
《Applied optics》 |2018年第8期|共8页
作者
Safdari Mohammad Javad; Mirjalili Seyed Mohammad; Bianucci Pablo; Zhang Xiupu;
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作者单位

Concordia Univ Dept Elect &

Comp Engn iPhoton Labs Montreal PQ H3G 1M8 Canada;

Concordia Univ Dept Elect &

Comp Engn iPhoton Labs Montreal PQ H3G 1M8 Canada;

Concordia Univ Dept Phys Montreal PQ H4B 1R6 Canada;

Concordia Univ Dept Elect &

Comp Engn iPhoton Labs Montreal PQ H3G 1M8 Canada;

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Multi-objective optimization framework for designing photonic crystal sensors

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