Genetic Application in a Facility Location Problem with Random Demand within Queuing Framework

In many service and industrial applications of the facility location problem, the number of required facilities along with allocation of the customers to the facilities are the two major questions that need to be answered. In this paper, a facility location problem with stochastic customer demand and immobile servers is studied. Two objectives considered in this problem are: (1) minimizing the average customer waiting time and (2) minimizing the average facility idle-time percentage.

کلیدواژه ها:

Facility Location ، Queuing Theory ، Genetic Algorithm ، Desirability Function