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The Scientific World Journal
Volume 2014, Article ID 628471, 17 pages
http://dx.doi.org/10.1155/2014/628471
Research Article

Distributed Query Plan Generation Using Multiobjective Genetic Algorithm

1SFIO-NIC Division, National Informatics Center, Ministry of Information Technology, New Delhi 110003, India
2School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India

Received 23 August 2013; Accepted 23 January 2014; Published 14 May 2014

Academic Editors: L. D. S. Coelho, Y. Jiang, W. Su, and G. A. Trunfio

Copyright © 2014 Shina Panicker and T. V. Vijay Kumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Manik Sharma, Rajinder Virk, and Gurvinder Singh, “Parametric analysis of different GA based distributed DSS Query Optimizer models,” 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), pp. 25–31, . View at Publisher · View at Google Scholar
  • Ramalingam Gomathi, and Dhandapani Sharmila, “A Novel Adaptive Cuckoo Search for Optimal Query Plan Generation,” The Scientific World Journal, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
  • Manik Sharma, Gurvinder Singh, and Rajinder Singh, “Design and analysis of stochastic DSS query optimizers in a distributed database system,” Egyptian Informatics Journal, 2015. View at Publisher · View at Google Scholar