Multiple Team Formation Using an Evolutionary Approach

Abstract

Multiple team formation problem is an interesting problem in the area of social network analysis which asks how experts can be assigned among multiple projects so that the effectiveness of allocation can be maximized. In this paper, we consider an approach based on genetic algorithm and sociometry for calculating the social relationship between experts in each project. Due to unavailability of data set, experimentation has been performed on synthetic data set given by J. H. Gutiérrez et al. [1] and results show that the allocation of experts for different projects is effective compared to the algorithm proposed in the literature.