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The considerable benefits of applying a DG-unit such as power loss reduction, environmental friendliness, voltage improvement, postponement of system upgrading, and increasing reliability, have resulted in significant research interest. This paper presents an application of the newly introduced sensory-deprived optimization algorithm (SDOA) to determine the optimal DG-unit's size, power factor and location to minimize the total system real power loss. The SDOA algorithm is a meta-heuristic, population-based optimization technique inspired by the intelligent behavior/survival of sensory-deprived human beings. To validate the results of applying SDOA, the IEEE 33-bus and 69-bus feeder systems are tested. The results are compared with those found using other methods. The outcomes verify that the SDOA is efficient, robust, fast and capable of handling mixed integer nonlinear optimization problems. The efficiency of the proposed SDOA is confirmed by the fact that the standard deviation of the results attained for 30 independent runs is virtually zero.