Evolutionary Computation of Multi-Band Antenna Using Multi-Objective Evolutionary Algorithm Based on Decomposition

  • Dawei Ding
  • Hongjin Wang
  • Gang Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7030)

Abstract

Design of multi-band antenna involves multiple characteristics such as return loss in multiple operation bands. To apply MOEA/D (multi-objective evolutionary algorithm based on decomposition) to antenna structure optimization, it was introduced into this field for the first time. MOEA/D framework was demonstrated at first. Then it was in conjunction with electromagnetic solver, HFSS (high frequency structure simulator) to optimize and design tri-band bow-tie antenna to serve as an example. The evolutionary results showed that MOEA/D worked efficiently and generated multiple candidate structures at one single iteration, and that MOEA/D had lower computational overhead than NSGA-II (non-dominated sorting genetic algorithm II) for this problem. Therefore, MOEA/D shows great potential for antenna structure optimization and design.

Keywords

Bow-tie antenna multi-objective evolutionary algorithm multi-objective optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dawei Ding
    • 1
  • Hongjin Wang
    • 1
  • Gang Wang
    • 2
  1. 1.Department of Telecommunication EngineeringUJSZhenjiangChina
  2. 2.Department of Electronic Engineering and Information ScienceUSTCHefeiChina

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