India's steadily expanding populace has made it important to create innovative methods of transportation with electric vehicles (EV's) being the most favoured alternative. The major impediment is the negative impact caused by the improper setup of charging stations on the utility distribution system. This paper takes up the issue of optimal planning (siting and sizing) of charging station (CS) infrastructure in the city of Allahabad, India. It has been labelled as a future smart city under a pilot transportation project started by Government of India. A hybrid algorithm comprising of Genetic Algorithm and improved version of conventional Particle Swarm Optimization (GAIPSO) is employed in this study. The aim is to find optimal location of proposed charging stations in the Allahabad distribution system. PSO further re-optimizes the received sub-optimal solution (site and size of station) which leads to an overall improvement in its functionality and solution. Simulation studies on a real time system of Allahabad city clearly exhibits the superior performance of the aforementioned technique with respect to GA and PSO in terms of improvement in voltage profile and quality of solution obtained for the objective function.