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Updated: Oct 22, 2025

Preparation and Evaluation of Hybrid Composites of Chemical Fuel and Multi-walled Carbon Nanotubes in the Study of Thermopower Waves

Preparation and Evaluation of Hybrid Composites of Chemical Fuel and Multi-walled Carbon Nanotubes in the Study of Thermopower Waves

Published on: April 10, 2015

The Simulation Design of Microwave Absorption Performance for the Multi-Layered Carbon-Based Nanocomposites Using

Danfeng Zhang¹, Congai Han², Haiyan Zhang²

¹School of Computers, Guangdong University of Technology, Guangzhou 510006, China.

Nanomaterials (Basel, Switzerland)

|August 27, 2021

Summary

Optimizing multi-layer microwave absorbing (MA) materials using genetic algorithm (GA) and artificial bee colony algorithm (ABC) significantly improved performance. The ABC algorithm efficiently achieved ultra-wide bandwidth and ultra-high reflectivity, outperforming single-layer designs.

Keywords:

artificial bee colony algorithm electromagnetic parameters genetic algorithm microwave absorption reflectivity

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Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

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Last Updated: Oct 22, 2025

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Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

Area of Science:

Materials Science
Electromagnetics
Computational Intelligence

Background:

Optimal microwave absorbing (MA) material design requires high absorption, wide bandwidth, light weight, and thin thickness, which are challenging for single-layer materials.
Multi-layer absorbing coatings are crucial for enhancing MA material performance.
Carbon-based nanocomposites are recognized for their excellent MA properties.

Purpose of the Study:

To optimize the design of multi-layer microwave absorbing materials using computational algorithms.
To evaluate and compare the performance of genetic algorithm (GA) and artificial bee colony algorithm (ABC) in optimizing MA material structures.
To achieve superior bandwidth and reflectivity compared to existing single-layer designs.

Main Methods:

Selection of ten candidate materials for constructing multi-layer absorbing structures.
Application of genetic algorithm (GA) and artificial bee colony algorithm (ABC) for optimizing two-layer and three-layer MA materials.
Performance evaluation based on bandwidth and reflectivity metrics.

Main Results:

Optimized two-layer MA material (3 mm thickness) achieved 8.12 GHz bandwidth and -53.4 dB reflectivity.
Optimized three-layer MA material demonstrated an ultra-wide bandwidth of 10.6 GHz and ultra-high reflectivity of -84.86 dB.
The artificial bee colony (ABC) algorithm proved more efficient, achieving optimal solutions in less time compared to the genetic algorithm (GA).

Conclusions:

Multi-layer designs optimized by GA and ABC significantly outperform unoptimized single-layer MA materials.
The ABC algorithm offers a highly efficient and effective approach for designing advanced microwave absorbing materials.
The reported results for optimized multi-layer MA materials represent a novel advancement in the field.