Cultural Algorithms for Cluster Hires in Social Networks

Team formation problems have numerous applications in a real-world setting. In this paper, we examine an application of team formation problems in the industrial organizational settings and tackle the problem of a forming group of teams with diverse skills in a social network to accomplish a set of projects — this problem associated with several constraints. Our primary goal is to find a set of teams that have high productivity and high social compatibility of people to maximize the profit of the projects under a given budget. In addition to this, the load of the team member should not exceed his or her capacity. In most profit based projects, we can observe a similar situation as described above. Therefore, this paper examines the most suitable model to solve this problem using an evolutionary algorithm called Cultural algorithms. Experimental results are compared against other existing methods used to solve the similar problem.