We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Genetic algorithm an intelligent approach for routing

Published on May 2012 by Noor Mohammed S, Laxmi Prasanna M V, Vinit Tyagi
National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011
Foundation of Computer Science USA
RTMC - Number 10
May 2012
Authors: Noor Mohammed S, Laxmi Prasanna M V, Vinit Tyagi
968842a6-7095-4ce8-85a8-d29210d5beea

Noor Mohammed S, Laxmi Prasanna M V, Vinit Tyagi . Genetic algorithm an intelligent approach for routing. National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011. RTMC, 10 (May 2012), 31-35.

@article{
author = { Noor Mohammed S, Laxmi Prasanna M V, Vinit Tyagi },
title = { Genetic algorithm an intelligent approach for routing },
journal = { National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011 },
issue_date = { May 2012 },
volume = { RTMC },
number = { 10 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 31-35 },
numpages = 5,
url = { /proceedings/rtmc/number10/6696-1085/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011
%A Noor Mohammed S
%A Laxmi Prasanna M V
%A Vinit Tyagi
%T Genetic algorithm an intelligent approach for routing
%J National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011
%@ 0975-8887
%V RTMC
%N 10
%P 31-35
%D 2012
%I International Journal of Computer Applications
Abstract

Genetic Algorithm approaches are adaptive heuristic search algorithms based on evolutionary ideas of natural selection and genetics. This paper focuses on different areas in computer networks their limitations and generalized solutions to optimize the areas to help the future demands. As today's Internet network does not meet the requirements of future integrated service networks that carry multimedia data traffic with high quality of service . So, it is necessary to develop high quality mechanism to check routing process, network traffic load and ensure Quality of Service (QoS) requirements. For resolving these problems Genetic Algorithm is a Global Optimized methodology, which we are going to solve using Traveling Sales Person problem.

References
  1. Bowman C. , Danzig P. , Hardy D. , Manber U. , and Schwartz M. , "Harvest: A Scalable, Customizable Access System," Technical Report CU-CS-732-94, Department of Computer Science, University of Colorado, Boulder, 1994.
  2. Brin S. and Page L. , "The Anatomy of a Large Scale Hypertextual Web Search Engine," Technical Report, Stanford University, Stanford, 1997.
  3. Cho J. and Garcia-Molina H. , "Estimating Frequency of Change," Computer Journal of ACM Transactions on Internet Technology, vol. 3, no. 3, pp. 256-290, 2003.
  4. Cho J. and Garcia-Molina H. , "Parallel Crawlers," in Proceedings of the Eleventh International Conference on World Wide Web, Honolulu, USA, pp. 124-135, 2002.
  5. Cho J. , Garcia-Molina H. , and Page L. , "Efficient Crawling Through URL Ordering," Technical Report, Computer Science Department, Stanford University, Stanford, USA, 1997.
  6. Fiedler J. and Hammer J. , "Using Mobile Crawlers to Search the Web Efficiently," International Journal of Computer and Information Science, vol. 1, no. 1, pp. 36-58.
Index Terms

Computer Science
Information Sciences

Keywords

Search Engine Mobile Crawler Network Resources Internet Traffic.