Hybrid optimisation method of improved genetic algorithm and IFT for linear thinned array

Hybrid optimisation method of improved genetic algorithm and IFT for linear thinned array

The array thinning technique can greatly reduce the number of the array elements while keeping the performance of the array almost the same. However, the existing algorithms have slow convergence rates and are easy to fall into local optimum. To improve the optimisation performance, a hybrid method...

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Bibliographic Details
Main Authors: Zheng Wang, Yuze Sun, Xiaopeng Yang, Shuai Li
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:The Journal of Engineering
Subjects:
iterative methods
genetic algorithms
fourier transforms
convergence of numerical methods
linear antenna arrays
hybrid optimisation method
improved genetic algorithm
linear thinned array
array thinning technique
array elements
slow convergence rates
optimisation performance
improved ga group
ift group
improved ga processing
adaptive crossover rate
mutation rate
ift processing
fast convergence velocity
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0296

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0296

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