Multi-Join Query Optimization Using the Bees Algorithm-Reference-Cited by-同舟云学术

Multi-Join Query Optimization Using the Bees Algorithm

Published:2010 Issue: Volume: Page:449-457
ISSN:1867-5662
Container-title:Advances in Intelligent and Soft Computing
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Author:

Alamery Mohammad,Faraahi Ahmad,Javadi H. Haj Seyyed,Nourossana Sadegh,Erfani Hossein

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-14883-5_58

Reference11 articles.

1. Li, N., Liu, Y., Dong, Y., Gu, J.: Application of Ant Colony Optimization Algorithm to Multi Join Query Optimization. Springer, Heidelberg (2008)

2. Shekita, E., Young, H., Tan, K.L.: Multi-join optimization for sym-metric multiprocessors. In: Proc. Of the Conf. on Very Large Data Bases (VLDB), Dublin, Ireland, pp. 479–492 (1993)

3. Cao, Y., Fang, Q.: Parallel Query Optimization Techniques for Multi-Join Expressions Based on Genetic Algorithms. Journal of Software 13, 250–256 (2002)

4. Swami, A., Iyer, B.: A polynomial time algorithm for optimizing join queries. In: Proc. IEEE Conf. on Data Engineering, Vienna, Austria, pp. 345–354 (1993)

5. Tereshko, V., Loengarov, A.: Collective Decision-Making in Honey Bee Foraging Dynamics. Comput. Inf. Sys. J. 9(3), 1–7 (2005)

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