Genetic Antenna Optimization: A Tale of Two Chromosomes

Abstract

In this paper, we describe how to apply genetic algorithm (GA) optimization techniques to two diverse antenna optimization problems: electrically-small bent-wire antennas and a digital ionosonde transmit antenna. For each of these we present a description of the problem and one or more ways in which it can be modeled for genetic algorithm optimization. The goal of this paper is not to present optimal results for each of these antenna design areas, but rather to illustrate how antenna optimization problems can be translated into chromosome representations for genetic algorithm optimization. Lessons learned from using different chromosome representations are presented, along with simulated and measured results as available.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADP017233

Entities

People

  • Edward Altshuler
  • Jim Hunter
  • Steven Best
  • Terry Bullett
  • Terry O'donnell

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Antenna Configurations
  • Coding
  • Coordinate Systems
  • Electrical Properties
  • Electrically Small Antennas
  • Electromagnetic Wave Propagation
  • Figure Of Merit
  • Frequency
  • Genetic Algorithms
  • Ionosondes
  • Optimization
  • Space Weather
  • Spacecraft
  • Standards

Readers

  • Molecular and genetic basis of cancer.
  • Phased Array Antenna Design.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology