Ant colony optimization algorithm for expert assignment problem

Expert assignment is chief and basic work of project review in project management. So it is significant to research how to solve expert assignment problem (EAP). In previous papers, we established the mathematical model of expert assignment problem, and proposed genetic algorithms (GAs) to solve EAP. Though it has been proven GAs are effective ways for EAP, they have disadvantages of slow convergence speed. In this paper, ant colony optimization (ACO), which has more powerful ability to solve complicated discrete optimization problem, is introduced to solve EAP. The simulation results show that ACO improves the convergence and generates solutions of better quality.