Concentric Circular Antenna Array Synthesis Using Biogeography Based Optimization

Majlesi Journal of Electrical Engineering

مقاله 6، دوره 6، شماره 1، خرداد 2012   

نوع مقاله: Review Article

نویسندگان

Urvinder Singh^{* 1}؛ Tara Kamal²

¹Department of ECE, Guru Nanak Dev Polytechnic College, Ludhiana, Punjab, India

²Department of ECE, DIET Kharar, Punjab, India

چکیده

Biogeography based optimization (BBO) is a new stochastic force based on the science of biogeography. Biogeography is the schoolwork of geographical allotment of biological organisms. BBO utilizes migration operator to share information between the problem solutions. The problem solutions are known as habitats and sharing of features is called migration. In this paper, BBO algorithm is developed to optimize the current excitations of concentric circular antenna arrays (CCAA). Concentric Circular Antenna Array (CCAA) has numerous attractive features that make it essential in mobile and communication applications. The goal of the optimization is to reduce the side lobe levels and the primary lobe beam width as much as possible. To confirm the capabilities of BBO, three different CCAA antennas of different sizes are taken. The results obtained by BBO are compared with the Real coded Genetic Algorithm (RGA), Craziness based Particle Swarm Optimization (CRPSO) and Hybrid Evolutionary Programming (HEP). 

کلیدواژه‌ها

en

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