Existing location allocations approaches do not take into consider the changeability nature of the world. This happens, whereas the most location allocation problems face time changing parameters. The change of these parameters can be foreseen sometimes so they should be token into consider in location allocation by modeled approaches. This paper has formulated the location allocation problem of p-median type dynamically and proposed an approach for solving dynamic location allocation and resource allocation problems based on artificial intelligence. A sample problem of NP-Complete type has been propounded and solved in dynamic and static modes in order to evaluate performance of the proposed approach. The implementation results has verified performance of the proposed method and dynamic location allocation approaches in respect to static ones for solving location allocation problems using change of demand model in time.