Main Article Content

Zulfiqar Ali
The University of Lahore, Lahore, Pakistan.
Pakistan
Biography
Hafiza Maria Kiran
The University of Lahore, Lahore.
Pakistan
Biography
Waseem Shahzad
National University of Computer and Emerging Sciences
Pakistan
Biography
Vol. 7 No. 3 (2018), Articles, pages 115-128
DOI: https://doi.org/10.14201/ADCAIJ201873115128
Accepted: Sep 24, 2018
Copyright

Abstract

Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that exploit principles of biological evolution. , such as natural selection and genetic inheritance. This review paper provides the application of evolutionary and swarms intelligence based query optimization strategies in Distributed Database Systems. The query optimization in a distributed environment is challenging task and hard problem. However, Evolutionary approaches are promising for the optimization problems. The problem of query optimization in a distributed database environment is one of the complex problems. There are several techniques which exist and are being used for query optimization in a distributed database. The intention of this research is to focus on how bio-inspired computational algorithms are used in a distributed database environment for query optimization. This paper provides working of bio-inspired computational algorithms in distributed database query optimization which includes genetic algorithms, ant colony algorithm, particle swarm optimization and Memetic Algorithms.

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