A Hybrid Algorithm for Dynamic Location Problems
نویسندگان
چکیده
In this research report a hybrid algorithm integrating genetic procedures and local search will be described which is able to solve capacitated and uncapacitated dynamic location problems. These problems are characterized by explicitly considering the possibility of a facility being open, closed and reopen more than once during the planning horizon. It is also possible to explicitly consider different open and reopen fixed costs. The Decision Maker (DM) can include additional restrictions in the proposed model. The algorithm developed is prepared to solve both mono and multi-objective location problems. In the latter case, the DM has to interact with the algorithm, indicating desired search areas in the objective space.
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