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Flowshop scheduling is an interdisciplinary challenge of addressing major optimality criteria of minimizing makespan and total-flow-time. The enumerations for finding the probabilities for improving the utilization of resources turn this problem towards NP-Hard. Particle Swam Optimization (PSO) has proven its ability to find of near optimal solution when problem size is large. Local search techniques increase ability of PSO and prevent PSO from getting stuck into local optima. This paperfatcat:vkflpdy5yvh7lklrwzplpdg3iy