A first course in genetic programming

ABSTRACT

Genetic programming is a machine learning technique introduced in the early nineties. Since its inception research into the applications of genetic programming and methodologies for overcoming the limitations of the technique has grown. This paper proposes a first course in genetic programming at the postgraduate level. The paper examines the objectives and outcomes, teaching strategies and assessment methods for such a course. The results of an evaluation of the course is also presented. Future improvements that will be made to the course are discussed.

REFERENCES

• 1: Wolfgang Banzhaf , Frank D. Francone , Robert E. Keller , Peter Nordin, Genetic programming: an introduction: on the automatic evolution of computer programs and its applications, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1998
• 2: John R. Koza, Genetic programming: on the programming of computers by means of natural selection, MIT Press, Cambridge, MA, 1992
• 3: John R. Koza, Genetic programming II: automatic discovery of reusable programs, MIT Press, Cambridge, MA, 1994
• 4: John R. Koza , David Andre , Forrest H. Bennett , Martin A. Keane, Genetic Programming III: Darwinian Invention & Problem Solving, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1999
• 5: William B. Langdon , Koza John R, Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming!, Kluwer Academic Publishers, Norwell, MA, 1998

INDEX TERMS

Keywords:
artificial intelligence education, genetic programming