A biologically based approach to the mutation of code
By: by Loretta L. Vandenberg
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1999
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 153
Description: Evolutionary programming is a relatively new problem solving approach in the field of computer science. It attempts to model the processes of natural selection and evolution to solve complex problems. This technique is very powerful because it can be applied to a wide range of problems, and can find solutions that other more traditional techniques cannot. This research attempts to augment the methodology of an evolutionary programming approach with two new features: (1) dominant and recessive traits and (2) intron and exon regions. These features form the basis of a specialized approach for evolutionary programming which might be able to be applied to new problem areas where evolutionary programming usually performs poorly. This specialized approach is applied to the well known problem of a series expansion, so that the results are easily * compared to a known solution, and that the influence of these additional mechanisms on the population of solutions can be studied. Results from implementing the new mechanisms individually and together are presented, and compared with a baseline evolutionary programming implementation.
Notes: "September 1999".

Thesis advisor(s): Taylor Kidd.

Thesis (M.S. in Computer Science) Naval Postgraduate School, September 1999.

Includes bibliographical references (p. 149-151).

Approved for public release; distribution unlimited.

Also Available online.

Mode of access: World Wide Web.

System Requirements: Adobe Acrobat reader.

US Marine Corps (USMC) author.

dk/dk cc:9116 03/24/00