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In this work we address HRA using Genetic Algorithm. Our main goal is to provide optimal HRA in terms of minimizing the cost, duration and efficient workforce allocation, without compromising activity criticality. For this purpose, we adapt small data set, then we compare our model with one of similar search heuristic algorithm Simulated Annealing(SA). Both the algorithms(GA and SA) are implemented from scratch.