In community facility planning, it is important to decide the location of facilities to provide the effective service for habitants. It is very hard to find the optimal location from a large number of alternatives of locations. In this paper, we proposed a method of the optimization of facility location using Genetic Algorithm (GA). We proposed a coding system of chromosome which expresses each alternative of facility location. We also gave definitions of genetic procedures, selection, crossover and mutation for optimizing the location of facilities. The effectiveness of proposed method was confirmed by application study on some ideal and actual facility location problems. As a result, we showed that our method is efficient because it doesn't depend on the number of facilities or locating points.
