Can I read Functional Search in Economics Using Genetic Programming on EtoBox?
Functional Search in Economics Using Genetic Programming by Carl P. Schmertmann is a Economics, Econometrics and Finance article available to read on EtoBox.
What is Functional Search in Economics Using Genetic Programming about?
This paper discusses economic applications of a recently developed artificial intelligence technique-Koza's genetic programming (GP). GP is an evolutionary search method related to genetic algorithms. In GP, populations of potential solutions consist of executable computer algorithms, rather than coded strings. The paper provides an overview of how GP works, and illustrates with two applications: solving for the policy function in a simple optimal growth model, and estimating an unusual regression function. Results suggest that the GP search method can be an interesting and effective tool for economists.
Who reads Functional Search in Economics Using Genetic Programming?
It is typically read by researchers, students, and practitioners in Economics, Econometrics and Finance.
- Author
- Carl P. Schmertmann
- Publisher
- Springer US; Springer-Verlag; Kluwer Academic Publishers; Springer Netherlands; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1572-9974)
- Published
- 1996
- Language
- EN
- Field
- Economics, Econometrics and Finance (Social Sciences)