Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9509378 | Journal of Computational and Applied Mathematics | 2005 | 18 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
John McCall,