Automatically assigned DDC number: 00631

Manually assigned DDC number: 00631

Number of references: 8

Title: Future Work and Practical Applications of Genetic Programming

Author:

Subject: John R. Koza Future Work and Practical Applications of Genetic Programming

Description: Genetic programming is a relatively new domain-independent method for evolving computer programs to solve problems. This chapter suggests avenues for possible future research on genetic programming, opportunities to extend the technique, and areas for possible practical applications. 1. Introduction The goal of the field of automatic programming is to create, in an automated way, a computer program that enables a computer to solve a problem. Genetic programming (Koza 1992, 1994) is a domain-independent approach to automatic programming in which computer programs are evolved to solve, or approximately solve, problems. The field of genetic programming has grown rapidly in the past few years. Between 1992 and 1996, over 600 papers on genetic programming have been published. This paper discusses the many opportunities to apply genetic programming to realistic and practical problems, numerous possible avenues to extend the technique of genetic programming, and avenues for research on theor...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1997-08-17

Pubyear: 1996

Format: ps

Identifier: http://citeseer.ist.psu.edu/191934.html

Source: http://www.genetic-programming.com/HECfuture.ps

Language: en

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