Genetic algorithm design for nonperiodic planar graphene leaky‐wave antennas in THz

2021 ◽  
Author(s):  
Ali Ghajar ◽  
Asghar Keshtkar ◽  
Saughar Jarchi ◽  
Habib Ghorbaninejad
Keyword(s):  
Genetic Algorithm ◽  
Algorithm Design ◽  
Leaky Wave ◽  
Planar Graphene

scholarly journals A Microstrip Antenna Design Using an Heuristic Algorithm

2020 ◽  
Vol 4 (1) ◽  
pp. 25
Author(s):  
I Made Adhi Wiryawan ◽  
Maria Veronica Astrid Wahyuningtyas ◽  
Anugerah Galang Persada ◽  
Dyonisius Dony Ariananda
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Return Loss ◽  
Particle Swarm Optimization Algorithm ◽  
Heuristic Algorithms ◽  
Algorithm Design ◽  
Particle Swarm ◽  
Microstrip Antennas ◽  
Swarm Optimization

Microstrip antennas have several advantages. Some of them are that they have a compact shape and small dimensions. Moreover, they are also easy to be fabricated and easily connected as well as integrated with other electronic devices. Currently, designing antennas conventionally is limited by time, energy, and experience as well as expertise. As an alternative, a way to design antennas with revolutionary methods is developed using algorithms and computing. Algorithm design techniques can overcome limitations and automatically find practical solutions that usually take a long time to discover. The particle swarm optimization algorithm and a genetic algorithm can find solutions from microstrip antennas. Objective functions play an essential role in heuristic algorithms. With a proper objective function, simulation results are obtained on the particle swarm optimization algorithm with a return loss value of -47.837, VSWR of 1.0083, and impedance of 46.805 Ω. In contrast, the genetic algorithm obtains return loss of -16.157 dB, impedance of 50.233 Ω, and VSWR of 1.3687.

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