Multi-Join Query Optimization Using the Bees Algorithm

被引：0
|
作者：
Alamery, Mohammad [1 ]
Faraahi, Ahmad [1 ]
Javadi, H. Haj Seyyed [2 ]
Nourossana, Sadegh [3 ]
Erfani, Hossein [3 ]
机构：
[1] Payame Noor Univ, Dept Informat Technol, Tehran, Iran
[2] Shahed Univ, Dept Math & Comp Sci, Tehran, Iran
[3] Islamic Azad Univ, Dept Comp Engn, Sci & Res Branch, Tehran, Iran
来源：
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2010年 / 79卷
关键词：
Bees algorithm; Database Management System; Multi-join; optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：449 / +
页数：3
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