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Optimal Design of Large Mode Area Photonic Crystal Fibers Using a Multiobjective Gray Wolf Optimization Technique

机译:基于多目标灰狼优化技术的大模面积光子晶体光纤的优化设计

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摘要

A new multiobjective optimization framework is presented for designing large mode area photonic crystal fibers (LMA-PCFs) with effective single-mode operation in the bent state. For optimizing the structure, we utilize the multiobjective gray wolf optimizer (MOGWO) to maximize the effective mode area (EMA) and the bending loss of higher order modes (HOMs), while minimizing the fundamental mode (FM) loss. The simulation results demonstrate that this framework enables us to improve the EMA by a factor of 1.26 and increase (decrease) the bending loss of the HOMs (the FM) by a factor of 7 (17), compared to the nonoptimal design. In addition, we investigate the dependence of the optical characteristics of the optimized LMA-PCFs on the wavelength and the bending radius. We found that some optimal structures are highly wavelength dependent and are not suitable for wideband applications. Furthermore, we found that the HOM loss is very sensitive to the bending radius. The proposed framework is comprehensive and can be employed to find a broad range of optimal designs for a wide range of applications.
机译:提出了一种新的多目标优化框架,用于设计在弯曲状态下具有有效单模工作的大模面积光子晶体光纤(LMA-PCF)。为了优化结构,我们利用多目标灰狼优化器(MOGWO)来最大化有效模式面积(EMA)和高阶模式(HOM)的弯曲损耗,同时最小化基本模式(FM)损耗。仿真结果表明,与非最佳设计相比,该框架使我们能够将EMA提高1.26倍,并将HOM(FM)的弯曲损耗提高(减少)7(17)倍。此外,我们研究了优化的LMA-PCF的光学特性对波长和弯曲半径的依赖性。我们发现一些最佳结构高度依赖于波长,不适合宽带应用。此外,我们发现HOM损耗对弯曲半径非常敏感。所提出的框架是全面的,可以用来为广泛的应用找到广泛的最佳设计。

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