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Genetical Swarm Optimizer for Synthesis of Multibeam Linear Antenna Arrays

By Hichem Chaker
Progress In Electromagnetics Research C, Vol. 60, 137-146, 2015


The paper presents a hybrid evolutionary algorithm suitable for the optimization of large-domain electromagnetic problems. The hybrid technique, called Genetical Swarm Optimization (GSO), combines Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). GSO algorithm is modelled on the concepts of Darwin's theory based on natural selection and evolution, and on cultural and social rules derived from the swarm intelligence. The problem is formulated and solved by means of the proposed algorithm. The examples are simulated to demonstrate the effectiveness and design flexibility of GSO in the framework of synthesis of multi-beam linear antennas arrays.


Hichem Chaker, "Genetical Swarm Optimizer for Synthesis of Multibeam Linear Antenna Arrays," Progress In Electromagnetics Research C, Vol. 60, 137-146, 2015.


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