Automatically assigned DDC number: 00631

Manually assigned DDC number: 00631

Number of references: 16

Title: Code Growth in Genetic Programming

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Subject: Jean'ne M. Shreeve,Major In Computer Science,Terence Soule,Major Professor,James A. Foster,Jim Alves-foss,Jim F. Frenzel,Deborah Frincke,Richard T Jacobsen Code Growth in Genetic Programming

Description: Genetic programming is a technique for the automatic generation of computer programs loosely based on the theory of evolution. It has produced successful solutions to a wide variety of problems and can be effective even in noisy and changing environments. However, genetic programming produces solutions with large amounts of unnecessary code. The amount of unnecessary code increases over time and is not proportional to increases in the quality of the solutions produced. Thus, this additional code seriously hinders the genetic programming processes by requiring extra resources without producing equivalent returns. This dissertation examines the causes of this "code growth." We use three test problems from very different fields of interest to confirm the generality of the results. We tested the destructive hypothesis, that code growth is a protective response to the destructiveness of crossover, as a potential cause of code growth. It is a definite cause, but is not sufficient to explai...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-05-15

Pubyear: 1998

Format: ps

Identifier: http://citeseer.ist.psu.edu/349518.html

Source: ftp://ftp.cs.uidaho.edu/pub/foster/papers/soule-thesis.ps.gz

Language: en

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