International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 167 - Number 2 |
Year of Publication: 2017 |
Authors: Ajay Wagh, Varsha Nemade |
10.5120/ijca2017914185 |
Ajay Wagh, Varsha Nemade . Query Optimization using Modified Ant Colony Algorithm. International Journal of Computer Applications. 167, 2 ( Jun 2017), 29-33. DOI=10.5120/ijca2017914185
Query optimization is challenging task in database. Many different types of techniques used to optimize query. Heuristic Greedy, Iterative Improvement and Ant Colony algorithms is being used to query optimization. Ant colony Algorithm used to find optimal solution for different type of problems. In this paper we modify Ant Colony Algorithm for query optimization and will show the comparison execution time between Heuristic based optimization, Ant Colony Optimization and Modified Ant Colony optimization algorithms. After implementation of said existing algorithms and modified Ant Colony optimization algorithms we found that modified Ant colony taking less computation time as compare to others algorithms.