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Reseach Article

Genetic Algorithm - Survey Paper

Published on May 2012 by Anita Thengade, Rucha Dondal
National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 5
May 2012
Authors: Anita Thengade, Rucha Dondal
da1cccf2-013a-45d5-88f0-89b2d58ace8d

Anita Thengade, Rucha Dondal . Genetic Algorithm - Survey Paper. National Conference on Recent Trends in Computing. NCRTC, 5 (May 2012), 25-29.

@article{
author = { Anita Thengade, Rucha Dondal },
title = { Genetic Algorithm - Survey Paper },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 5 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 25-29 },
numpages = 5,
url = { /proceedings/ncrtc/number5/6549-1039/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Anita Thengade
%A Rucha Dondal
%T Genetic Algorithm - Survey Paper
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 5
%P 25-29
%D 2012
%I International Journal of Computer Applications
Abstract

This paper provides an introduction of Genetic Algorithm, its basic functionality. The basic functionality of Genetic Algorithm include various steps such as selection, crossover, mutation. This paper also focuses on the comparison of Genetic Algorithm with other problem solving technique. The details of labs that basically concentrate on the research and development of Genetic Algorithm is also included. The details of labs include the various projects that are carried out on Genetic Algorithm.

References
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  5. J. H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, MI, 1975.
  6. Mitchell, Melanie. An Introduction to Genetic Algorithms. MIT Press, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

Selection Crossover Mutation Problem-solving Technique