Genetic algorithms for modelling and optimisation

[摘要] 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. (c) 2005 Elsevier B.V. All rights reserved.

[发布日期] 2005-12-01

[关键词] genetic algorithms;immunology;optimisation;evolution