Migration Effects on BBO Evolution in Optimizing Fifteen Element Yagi-Uda Antenna Design

نویسندگان

  • Gagan Sachdeva
  • Dilpal Singh
  • E. E. Altshuler
  • A. N. Amaral
  • U. C. Resende
  • S. Baskar
  • A. Alphones
  • P N Suganthan
  • JH Bojsen
  • H. Schjaer-Jacobsen
  • E. Nilsson
  • D. Correia
  • A. J. M. Soares
چکیده

Biogeography Based Optimization (BBO) is a recently introduced optimization technique based on science of biogeography, i. e. , study of distribution of biological species over space and time. In BBO, potential solutions of a problem are grouped in integer vectors known as habitats. Feature, i. e. , Suitability Index Variable (SIV), sharing among various habitats is made to occur with migration operator where as exploration of new SIVs is done with mutation operator. Different migration variants are proposed to increase the diversity in the population, with objective of improved performance of BBO algorithm. Yagi-Uda antenna is a widely used antenna design due to various useful properties of high gain, low cost and ease of construction. Designing a Yagi-Uda antenna involves determination of element lengths and spacings between them to get desired radiation characteristics. In this paper, various migration variants of BBO algorithm, reported till date, are investigated to optimize the lengths and spacings for Yagi-Uda antenna elements for maximum gain. The results obtained with these migration variants are compared and the best results are presented in the ending sections of the paper.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

IRBBO for Gain Maximization of Fifteen-Element Yagi-Uda Antenna

Biogeography is the study of distribution of biological species, over space and time, among random habitats. Recently introduced Biogeography Based Optimization (BBO) is a technique, where solutions of the problem are termed as habitats. Feature, i.e., Suitability Index Variable (SIV), sharing among various habitats is made to occur with migration operator where as exploration of new SIVs is do...

متن کامل

Multi-objective Gain-Impedance Optimization of Yagi-Uda Antenna using NSBBO and NSPSO

Biogeography-Based Optimization (BBO) is a population based algorithm which has shown impressive performance over other Evolutionary Algorithms (EAs). BBO algorithm is based on the study of distribution of biological organisms over space and time. YagiUda antenna design is most widely used antenna at VHF and UHF frequencies due to high gain, directivity and ease of construction. However, design...

متن کامل

BBO Algorithms with Graded Emigration for Yagi-Uda Antenna Design Optimization for Maximal Gain

Biogeography Based Optimization (BBO) is a swarm based optimization algorithm that has shown impressive performance over other Evolutionary Algorithms (EAs). Immigration Refusal Biogeography Based Optimization (IRBBO), Enhanced Biogeography Based Optimization (EBBO), Blended Migration are the most improved version of BBO and are known as migration variants of BBO. In this paper, a new concept o...

متن کامل

Microstrip Patch Yagi-Uda Array for Millimeter Wave Applications

This paper presents a novel design of microstrip Yagi-Uda array. This proposed design has been simulated at frequency of 6.95 GHz. CST MW Studio software is used for Simulation of Yagi Uda array. Unlike conventional design of Yagi Uda array, In this design reflector, director and driven element of Yagi Uda array is designed by using microstrip patches of different dimensions with supporting die...

متن کامل

Yagi-Uda Antenna Design Optimization for Maximum Gain using different BBO Migration Variants

Biogeography is the study of distribution of biological species, over space and time, among random habitats. Recently developed Biogeography-Based Optimization (BBO) is a technique, where solutions of the problem under consideration are named as habitats; similar to chromosome in Genetic Algorithms (GAs) and particles in Particle Swarm Optimization (PSO). Feature sharing among various habitats,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013