ACO based shortest path between locations within a campus Maria Wenisch S, Amali Asha Asha A TEM Journal, 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.
Edge detection using multiple ant colony approach Amali Asha, M. Wenisch TEM Journal, 2017 : The gray level change between any two regions is described as an edge. This change is spread out among a lot of pixels. There are algorithms which can be used to detect edges. Some of them are designed in such a way that they can detect straight visible edges. Also, there were algorithms whose settings can detect partial edges. But it is very difficult to design an algorithm, which could detect partial edges and also correct edges. At the same time the algorithm should also have a setting to manage hidden edges. Multiple ant colony approach is a best method to get a good solution. This will be possible due to the cohabitation of various colonies. The activities of ant colonies that are coordinated by an interaction on the colony level is the basic idea of multiple ant colony approach.
