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Details

The schema weight heuristic

Date Issued
August 1, 1992
Author(s)
DeLoach, Allan
Advisor(s)
Michael D. Vose
Additional Advisor(s)
David Mutchler
Douglas Birdwell
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/33477
Abstract

This thesis defines a genetic algorithm performance diagnostic heuristic based on the building block hypothesis and the Schema Theorem. The heuristic attempts to integrate information from the Schema Theorem in a manner that correlates with observed GA performance. The heuristic was coded and tested against a genetic algorithm processing a variety of objective functions. The results of these experiments are included.

Degree
Master of Science
Major
Computer Science
File(s)
Thumbnail Image
Name

Thesis92D346.pdf

Size

2.27 MB

Format

Unknown

Checksum (MD5)

637b79c8cb8d66cacd6cc2ed02c01bc9


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