Multi-join Query in Database Based on Genetic and Ant Colony Algorithm Optimization

Author:

Shi Lingling1,He Dongzhi1

Affiliation:

1. Beijing University of Technology, Beijing, China

Publisher

ACM Press

Reference12 articles.

1. Ladan Golshanara, etc. A multi-colony ant algorithm for optimizing join queries in distributed database systems. Knowledge and Information Systems. April 2014, Volume 39, Issue 1, pp 175--206. DOI= 10.1007/s10115-012-0608-4

2. Wenjiao Ban, Jiming Lin, Jichao Tong, Shiwen Li. Query Optimization of Distributed Database Based on Parallel Genetic Algorithm and Max-Min Ant System. Proceedings - 2015 8th International Symposium on Computational Intelligence and Design, ISCID 2015, v 2, p 581--585, May 11, 2016. DOI= 10.1109/ISCID.2015.199

3. Shaohua Liu, Xing Xu. Distributed Database Query Based on Improved Genetic Algorithm. Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE2016, p 348--351, October 31, 2016. DOI=10.1109/ICISCE.2016.84

4. Wenbo, Zheng, etc. Database Query Optimization Based on Parallel Ant Colony Algorithm. 2018 3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018, p 653--656, October 15, 2018. DOI= 10.1109/ICIVC.2018.8492789

5. Chande, Swati V, Sinha, Madhavi. Genetic optimization for the join ordering problem of database queries. Proceedings - 2011 Annual IEEE India Conference: Engineering Sustainable Solutions, INDICON-2011, 2011. DOI=10.1109/INDCON.2011.6139336

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