This document summarizes research on using particle swarm optimization to improve a distribution system with multiple distributed generators. It presents methods for optimally siting and sizing distributed generators using genetic algorithms and particle swarm optimization. The methods are tested on the IEEE 33-node test feeder, and particle swarm optimization is able to reduce total power losses by up to 66.68 kW compared to 29.65 kW for genetic algorithms when placing three distributed generators.