The changing environment in the field of education invited different institutes at all levels to adopt quality measures and aim for accreditation. Few policy-planners have adequate tools to aid their understanding of how various policy formulations affect this complex, socio-technical system. Most people think of complexity in terms of the number of components in a system or the number of possibilities one must consider in making decision. The problem of optimally distributing financial resources over time to improve the over all institution quality and thus obtain a higher rank is very complex due to the interactions of agents over time. The complexity however lies in finding the best solution out of an astronomical number of possibilities. In this paper, it has been developed a proof-of-concept model to simulate the impacts of resources distribution on accreditation score in a simulated environment. The techniques of system dynamics have been used here along with genetic algorithms to maximize the accreditation score and examine the relative effects of policies and exogenous forces on accreditation in order to provide insight into the policy-planning process. As the accreditations guidelines can vary from a country to another the objective was to provide policy-planners with a clear understanding of the trade-offs made in policy formulation.