Multi-join query optimization is an important technique for designing and implementing database management system. It is a crucial factor that affects the capability of database. This paper proposes a Bees algorithm that simulates the foraging behavior of honey bee swarm to solve Multi-join query optimization problem. The performance of the Bees algorithm and Ant Colony Optimization algorithm are compared with respect to computational time and the simulation result indicates that Bees algorithm is more effective and efficient. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Alamery, M., Faraahi, A., Javadi, H. H. S., Nourossana, S., & Erfani, H. (2010). Multi-join query optimization using the bees algorithm. In Advances in Intelligent and Soft Computing (Vol. 79, pp. 449–457). https://doi.org/10.1007/978-3-642-14883-5_58
Mendeley helps you to discover research relevant for your work.