Query Optimization using Modified Ant Colony Algorithm | Zendy

Ajay Wagh | Zendy; Varsha Nemade | Zendy

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Query Optimization using Modified Ant Colony Algorithm

Author(s) -

Ajay Wagh,

Varsha Nemade

Publication year - 2017

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2017914185

Subject(s) - computer science , ant colony optimization algorithms , ant , optimization algorithm , query optimization , mathematical optimization , artificial intelligence , data mining , operating system , mathematics

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.

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