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The Harmony Search (HS) Algorithm is one of the efficient nature-inspired optimization algorithms which exhibits interesting search capability within less computational overhead. However, empirical studies showed that the main problem of this kind of algorithms is the proper setting of the associated parameters. HS associated with a few parameters and to find out the proper combination of the parameter values is time consuming. That's why a parameterless variant has been proposed here, which does not need the tuning over control parameters. The effect of different population size and stopping criterion has been considered in the experiment. The efficiency of the proposed HS is measured in Shannon's entropy based image multi-thresholding field.