电磁吸收器设计的改进多目标粒子群算法

2007 Asia-Pacific Conference on Applied Electromagnetics Pub Date : 2007-12-01 DOI:10.1109/APACE.2007.4603923

S. Chamaani, S. A. Mirtaheri, M. Teshnehlab, M. A. Shooredeli

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引用次数: 77

摘要

将多目标粒子群算法应用于平面多层电磁吸波器的设计及最优帕累托阵的求解。所获得的帕累托给出了吸收体厚度和反射系数之间的最佳折衷。粒子群优化方法与遗传算法等大多数优化算法相比，具有简单、快速的特点。但多目标粒子群优化的基本形式不一定能得到最优Pareto。我们进行了一些修改，使其更有效地寻找最优帕累托前。与以前文章中报道的结果进行比较，证实了该算法在寻找更好的解方面的能力。

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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Modified Multi-objective Particle Swarm Optimization for electromagnetic absorber design

Use of multi-objective particle swarm optimization for designing of planar multilayered electromagnetic absorbers and finding optimal Pareto front is described. The achieved Pareto presents optimal possible trade offs between thickness and reflection coefficient of absorbers. Particle swarm optimization method in comparison with most of optimization algorithms such as genetic algorithms is simple and fast. But the basic form of multi-objective particle swarm optimization may not obtain the best Pareto. We applied some modifications to make it more efficient in finding optimal Pareto front. Comparison with reported results in previous articles confirms the ability of this algorithm in finding better solutions.

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2007 Asia-Pacific Conference on Applied Electromagnetics

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