Design of Large Thinned Arrays Using Different Biogeography-Based Optimization Migration Models
Array thinning is a common discrete-valued combinatorial optimization problem. Evolutionary algorithms are suitable techniques for above-mentioned problem. Biogeography-Based Optimization (BBO), which is inspired by the science of biogeography, is a stochastic population-based evolutionary algorithm...
Saved in:
Main Authors: | Sotirios K. Goudos, John N. Sahalos |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2016/5359298 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Differential Evolution with Biogeography-Based Optimization for Design of a Reconfigurable Antenna Array with Discrete Phase Shifters
by: Xiangtao Li, et al.
Published: (2011-01-01) -
Design of SVC Controller Based on Improved Biogeography-Based Optimization Algorithm
by: Feifei Dong, et al.
Published: (2014-01-01) -
An Iterative Technique for the Synthesis of Active Antenna Oscillator Arrays
by: Theodoros N. Kaifas, et al.
Published: (2009-01-01) -
Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP
by: Xinming Zhang, et al.
Published: (2020-01-01) -
A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA)
by: Laid Amamra, et al.
Published: (2023-12-01)