Exploring Fish School Algorithm for Improving Turnaround Time: An Experience of Content Retrieval

Abstract

In distributed e-learning paradigm, learning pedagogy demands different content retrieval methodologies after reaching certain boundary of learning. Hence, the learners are expected, to retrieve the contents and they need to improvise at substantially faster rate. The overall learning process converges into a finite time usage and they will return to the same point of access point. The present paper proposes an innovative fish school algorithm to minimize the turnaround time of content retrieval of learner so as to improve learning efficiency. The deployment of fish school contemplates either Prey (the fish perceives the concentration of food in water to determine the movement by vision or sense and then chooses the tendency) swarm ( the fish will assemble in groups naturally in the moving process, which is a kind of living habits in order to guarantee the existence of the colony and avoid dangers) or Follow(in the moving process of the fish swarm, when a single fish or several fish find food, the neighborhood partners will trail and reach the food quickly). In the present problem of content retrieval, these verticals of Fish school are referred to quantify the symbol definition, constraint strategy and stopping criteria for improving turnaround time for the content. The Fish school has the better iterative potential over the other conventional derivative free optimization techniques e.g. Particle Swarm Optimization and Ant Colony Algorithm, and moreover the proposed algorithm can be well interfaced with web portal of e-learning content retrieval. Couples of characteristic results have been included to support the anomalies as the improvement of turnaround time.