Vol.7, No.4, November 2018.                                                                                                                                                                             ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

ACO Based Shortest Path between Locations within a Campus


Maria Wenisch S, Amali Asha A


© 2018 Amali Asha A, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 7, Issue 4, Pages 933-936,, ISSN 2217-8309, DOI: 10.18421/TEM74-34, November 2018.


Received: 30 July 2018.
Accepted: 11 October 2018.
Published: 26 November 2018.




Modelling the behaviour of nature is the most inspiring field among researchers. Many algorithms are developed based on the behaviour of nature to solve problems including solution to very complex problems. Ant Colony Optimization - ACO is a best optimization algorithm used almost in all the fields to find solution to the difficult combinatorial problems. In our paper we are using ACO to find out the shortest path between the locations within the campus. This is used to give path direction to the visually challenged students within our campus to reach out the various places. The shortest path information will be used as a basis for the design of a voice monitoring system. This voice monitoring system guides the visually challenged students.


Keywords –Optimization algorithm, shortest path, voice monitoring system, ACO, Ant Colonies, Swarm Intelligence, pheromone.



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