Award Date
1-1-1993
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematical Sciences
Number of Pages
127
Abstract
The theory of iterated function systems (IFS) allows one to construct a fractal which depends on a finite number of parameters. The associated inverse problem, finding a set of parameters which reconstructs a given fractal, is much more difficult. This paper explores the possibility of solving the inverse program with the genetic algorithm.
Keywords
Algorithm; Applied; Fractal; Genetic; Inverse; Problem
Controlled Subject
Mathematics
File Format
File Size
3645.44 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
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Repository Citation
Miyamoto, Hiroo, "A genetic algorithm applied to the fractal inverse problem" (1993). UNLV Retrospective Theses & Dissertations. 329.
http://dx.doi.org/10.25669/6d8g-4bse
Rights
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