Unlike production facilities, service facilities do not have traditional distribution channel. Emergency service facilities are the end point of the system where in the demand occurs. Sometimes the costumers go to the facilities like hospitals and some other times conversely like fire stations. In public service organizations that mostly seek for customer satisfaction, decreasing the distance between servers and receivers and covering more population are most important goals. Finding the best location of emergency service facility and allocating them to the demand areas to optimize the covered population and also the distance between demand areas and service center are the main purpose of the present research. Solving model using exact and Meta-Heuristic Algorithms showed that ABC results are in a perfect situation comparing with global solution and other Meta- Heuristics in various aspects like analyzing time and quality of solutions. Even comparing with powerful and known Meta-Heuristics such as NSGA-II, PSO and SA, the presented multi objective ABC (MOABC) Algorithm often achieved better solutions in less time in both real and simulated data section.
