This research was carried out to assess the voltage improvement of Okesha distribution network using genetic algorithm. This paper outlines in detail voltage improvement and genetic algorithm for optimal location of Okesha distribution network, with DG integration. The study was carried out on Okesha feeder. The modelling was performed in MATLAB and codes were written for the Genetic Algorithm (GA). The performance analysis was conducted using the voltage level at various bus bars. Simulation on MATLAB of the Feeder was carried out without any integration and with integration of 500kV, 1 MW and 2MW. DG was then located manually and the voltage results were compared with optimal location using GA. From the findings, it was discovered that low power source on the distribution network cannot be sufficient for power distribution network, hence the consumers will not receive adequate voltage supply. Therefore, this study concludes that various capacity of the feeder should be ascertained while adequate DG should be integrated at the appropriate points to enhance adequate power supply to the users/consumers. The study therefore recommend that, while integrating DG on the distribution network, adequate precautionary measures should be taken to prevent the end users from receiving excessive voltage which can damage their appliances. Also, the various sources of energy to be integrated should be within the scope of the feeder.