  Allocating of people in multiple projects is an important issue considering
the efficiency of groups from the point of view of social interaction. In this
paper, based on previous works, the Multiple Team Formation Problem (MTFP)
based on sociometric techniques is formulated as an optimization problem taking
into account the social interaction among team members. To solve the resulting
optimization problem we propose a Genetic Algorithm due to the NP-hard nature
of the problem. The social cohesion is an important issue that directly impacts
the productivity of the work environment. So, maintaining an appropriate level
of cohesion keeps a group together, which will bring positive impacts on the
results of a project. The aim of the proposal is to ensure the best possible
effectiveness from the point of view of social interaction. In this way, the
presented algorithm serves as a decision-making tool for managers to build
teams of people in multiple projects. In order to analyze the performance of
the proposed method, computational experiments with benchmarks were performed
and compared with the exhaustive method. The results are promising and show
that the algorithm generally obtains near-optimal results within a short
computational time.
