File:A biologically based approach to the mutation of code (IA biologicallybase00vand).pdf

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search
Go to page
next page →
next page →
next page →

Original file(1,156 × 1,589 pixels, file size: 7.47 MB, MIME type: application/pdf, 180 pages)

Captions

Captions

Add a one-line explanation of what this file represents

Summary[edit]

A biologically based approach to the mutation of code   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Vandenberg, Loretta L.
image of artwork listed in title parameter on this page
Title
A biologically based approach to the mutation of code
Publisher
Monterey, California: Naval Postgraduate School;Springfield, Va.: Available from National Technical Information Service
Description
"September 1999"
Thesis advisor(s): Taylor Kidd
Thesis (M.S. in Computer Science) Naval Postgraduate School, September 1999
Includes bibliographical references (p. 149-151)
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
Mode of access: World Wide Web
System Requirements: Adobe Acrobat reader
US Marine Corps (USMC) author
dk/dk cc:9116 03/24/00

Subjects:
Language en_US
Publication date 1 September 1999
publication_date QS:P577,+1999-09-01T00:00:00Z/11
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink; americana
Accession number
biologicallybase00vand
Authority file  OCLC: 1041575709
Source
Internet Archive identifier: biologicallybase00vand
https://archive.org/download/biologicallybase00vand/biologicallybase00vand.pdf

Licensing[edit]

Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current07:36, 15 July 2020Thumbnail for version as of 07:36, 15 July 20201,156 × 1,589, 180 pages (7.47 MB) (talk | contribs)FEDLINK - United States Federal Collection biologicallybase00vand (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #10401)

Metadata