Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 727658, 7 pages
http://dx.doi.org/10.1155/2014/727658
Research Article

A Novel Adaptive Cuckoo Search for Optimal Query Plan Generation

1Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam 638401, India
2Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam 638401, India

Received 4 June 2014; Revised 10 July 2014; Accepted 17 July 2014; Published 14 August 2014

Academic Editor: Juan Pavón

Copyright © 2014 Ramalingam Gomathi and Dhandapani Sharmila. 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 [5 citations]

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

  • Tanvi Chawla, Girdhari Singh, and Emmanuel S. Pilli, “A shortest path approach to SPARQL chain query optimisation,” 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1778–1778, . View at Publisher · View at Google Scholar
  • S. Sadesh, and R. C. Suganthe, “Effective Filtering of Query Results on Updated User Behavioral Profiles in Web Mining,” The Scientific World Journal, vol. 2015, pp. 1–8, 2015. View at Publisher · View at Google Scholar
  • Varghese S. Chooralil, E. Gopinathan, Varghese S. Chooralil, and E. Gopinathan, “A Semantic Web query Optimization Using Resource Description Framework,” Proceedings Of The 4Th International Conference On Eco-Friendly Computing And Communication Systems, vol. 70, pp. 723–732, 2015. View at Publisher · View at Google Scholar
  • Uroš Mlakar, Iztok Fister, and Iztok Fister, “Hybrid self-adaptive Cuckoo search for global optimization,” Swarm and Evolutionary Computation, 2016. View at Publisher · View at Google Scholar
  • Pauline Ong, and S. Kohshelan, “Performances of Adaptive Cuckoo Search Algorithm in Engineering Optimization,” Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, pp. 676–699, 2016. View at Publisher · View at Google Scholar