Join query optimization in the distributed database system using an artificial bee colony algorithm and genetic operators

2019 ◽  
pp. e5218 ◽  
Author(s):  
Vahideh Panahi ◽  
Nima Jafari Navimipour
Keyword(s):  
Query Optimization ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Distributed Database ◽  
Database System ◽  
Genetic Operators ◽  
Bee Colony ◽  
Distributed Database System

A novel binary artificial bee colony algorithm based on genetic operators

2015 ◽  
Vol 297 ◽  
pp. 154-170 ◽  
Author(s):  
Celal Ozturk ◽  
Emrah Hancer ◽  
Dervis Karaboga
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Genetic Operators ◽  
Bee Colony

Study on Query Optimization of Distributed Database

2014 ◽  
Vol 533 ◽  
pp. 448-451
Author(s):  
Yao Meng
Keyword(s):  
Query Optimization ◽  
Cost Efficiency ◽  
Hybrid Algorithm ◽  
Distributed Database ◽  
Database System ◽  
Simulation Experiments ◽  
Original Algorithm ◽  
Distributed Query ◽  
Distributed Database System ◽  
Better Than

Distributed query optimization in contemporary distributed database system increasingly important role, excellent query optimizer algorithm can effectively improve the query performance of the system. This article will be distributed query optimization hybrid algorithm is applied to improve the performance of distributed query optimization algorithms. Through simulation experiments and comparing two improved algorithms and the merits of the original algorithm, results were analyzed and show that the improved algorithm is better than the original algorithm has been improved to some extent in achieving cost efficiency and other aspects.

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