Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm

Authors:
Siddharth Pal;Anniruddha Basak;Swagatam Das;Ajith Abraham
Affiliations:
-;-;-;-
Venue:
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
Year:
2009

Citing 0
Cited 2

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Abstract

Linear antenna array design is one of the most important electromagnetic optimization problems of current interest. This article describes the application of a recently developed metaheuristic algorithm, known as the Invasive Weed Optimization (IWO), to optimize the spacing between the elements of the linear array to produce a radiation pattern with minimum side lobe level and null placement control. The results of the IWO algorithm have been shown to meet or beat the results obtained using other state-of-the-art metaheuristics like the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Memetic Algorithms (MA), and Tabu Search (TS) in a statistically meaningful way