GENETICAL SWARM OPTIMIZER FOR SYNTHESIS OF MULTIBEAM LINEAR ANTENNA ARRAYS | Zendy

Hichem Chaker | Zendy

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GENETICAL SWARM OPTIMIZER FOR SYNTHESIS OF MULTIBEAM LINEAR ANTENNA ARRAYS

Author(s) -

Hichem Chaker

Publication year - 2015

Publication title -

progress in electromagnetics research c

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.341

H-Index - 34

ISSN - 1937-8718

DOI - 10.2528/pierc15110206

Subject(s) - antenna (radio) , swarm behaviour , computer science , mathematics , telecommunications , mathematical optimization

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.

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