Electrical energy is continuously lost due to resistance in the power system networks. Distribution system experience enormous power losses as compared to the rest of the network. Solutions that reduce distribution power losses need to be planned for the purpose of lowering energy consumption, cost and balancing the generation to the load. Reduced power losses increase the life span of power equipment and reliability of the distribution network. One method of achieving improved power losses and voltage profile at no extra cost is by applying optimal switching sequence to the Radial Distribution System (RDS). The reconfiguration in network topology alters the current flowing through the lines hence minimizing power losses while maintaining the operating constraints. In this study, a metaheuristic nature inspired Modified Shark Smell Optimization (MSSO) algorithm was proposed to identify the optimal network reconfiguration in an IEEE 33-bus RDS. The results were evaluated and compared with other optimization algorithms to show the efficiency of the proposed algorithm.