Selecting an Optimal Compound of a University Research Team by Using Genetic Algorithms

The latest economic situation determines an increased attention to efficient and rational use of productive resources of capital and labour. In this context, higher education institutions are trying to encourage building convenient research teams, taking into account the fact that research is dependent upon the individuals. The members of a research team must be chosen considering the importance of their knowledge for the proposed project but also the significance of the project for the individuals' career. In this paper it is presented an application that proposes the implementation of genetic algorithms in this area. The application aims to identify the best compound of a research team by choosing the most suitable individuals from different university departments in order to increase the productivity and to minimize the cost concerning time and resources.