GARO Framework: A Genetic Algorithm Based Resource Optimization for Organizational Efficiency
Organizations strive to gain efficiency, which is often measured by its outputs. However, this approach consists partly of the whole effort to maximize organizational efficiency. The component that is seldom considered is the optimal allocation of tasks to resources, as this has a critical impact on the outputs of the organization. An efficient allocation of tasks to resources would have a direct bearing on the efficiency of the organization. Nevertheless, organizations seldom conduct this with a scientific basis, assuming that there is not much analysis required or possible. The research that has been undertaken in this area has significant deficiencies and lacks practicality. In this paper, an innovative method that utilizes a genetic algorithm technique to optimally utilize organizational resources is presented.
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