A PSO Approach in Solving Staff Transfer Problem

Abstract

Optimization is ubiquitous, from industry to engineering design, from scheduling your daily routine to your holiday. In many large organizations, from governments to private companies, management of transferring staffs from one location to another plays a major role. The satisfactory assignment of vacant transfer postings to employees is an important issue in Human Resource Management. Optimization of business problems is formerly achieved by using deterministic methods. The objective here is to research and implement a system which gives optimal result and satisfies the employee needs by using Particle Swarm Optimization (PSO), a stochastic meta-heuristics technique. The Staff Transfer Problem is formulated mathematically and applied by the PSO as an application to illustrate its performance. Our experiment gives a perfect result within acceptable time period which cannot be possible by deterministic methods.