USING SWARM APPROACHES FOR STUDENT SELECTION PROCESS

Reetika Nagar, Sachin Kumar, Gaurav Pratap Singh

Abstract: Swarm intelligence has been extensively used in research area because swarm systems are highly scalable, respond well to rapidly changing environments, work collectively without central control and consists of simple agents or particles. Swarm intelligence helps to design optimal solution scape and best results. A large number of applications have been proposed using swarm intelligence for different research area such as ant colony optimization (ACO), bee colony optimization (BCO), particle swarm optimization (PSO), bacterial foraging optimization (BFO), cat swarm optimization (CSO) and many more. In this paper, introduction of swarm intelligence, its variants ant colony optimization and particle swarm optimization, and student selection process has been given. Further, implementation of student selection process (SSP), it is a standardized process conducted to provide jobs to students within educational institutes or in a common job fair, is shown using ant colony optimization and particle swarm optimization

Keywords: Swarm Intelligence, ACO, PSO, Student Selection Process.

DOI: https://doi.org/10.15623/ijret.2014.0312002