genetic algorithm for solving the software project management problem

In this graduation thesis, a genetic algorithm for solving the software project management problem is discussed. A software project consists of activities which need to be implemented as quickly as possible and/or with minimal cost and with minimal overlap of activities, with use of available resources. These are employees with skills. In the first part of the thesis, genetic algorithms are presented. Then the software project management problem is formally described. Description of the realization of a genetic algorithm for the software project management problem follows. The thesis is completed by testing the algorithm in order to provide guidance for selecting parameters of the genetic algorithm, such that it will organize the activities and the resources of the software project optimally with respect to given criteria