Genetic algorithms for modelling and optimisation

  • Authors:
  • John McCall

  • Affiliations:
  • School of Computing, Robert Gordon University, Aberdeen, Scotland, UK

  • Venue:
  • Journal of Computational and Applied Mathematics - Special issue: Mathematics applied to immunology
  • Year:
  • 2005

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Abstract

Genetic algorithms (GAs) are a heuristic search and optimisation technique inspired by natural evolution. They have been successfully applied to a wide range of real-world problems of significant complexity. This paper is intended as an introduction to GAs aimed at immunologists and mathematicians interested in immunology. We describe how to construct a GA and the main strands of GA theory before speculatively identifying possible applications of GAs to the study of immunology. An illustrative example of using a GA for a medical optimal control problem is provided. The paper also includes a brief account of the related area of artificial immune systems.