Chlorination of drinking water distribution networks is usually carried out at the treatment plants. However, chlorine may not be found in some portions or far points of a network. In this case, one or more booster chlorination stations must be build in the network. Network hydraulic values, tank water levels and chlorine concentrations may vary in a day because of the consumer demand changes. For this reason, optimal location of booster chlorination, injection rates and scheduling must be considered together. In this paper; locations, injection rates and scheduling ofchlorine booster stations have been searched using Genetic Algorithms. In order to find hydraulic solutions and chlorine distributions of a network EPANET software was used. In the solution phase, Genetic Algorithms and EPANET software have been run interactively. Developed algorithm was used on a real network given in the literature and solutions were compared with the current status of the network.