Article ID: | iaor2009641 |
Country: | Poland |
Volume: | 29 |
Issue: | 3 |
Start Page Number: | 789 |
End Page Number: | 798 |
Publication Date: | Jan 2000 |
Journal: | Control and Cybernetics |
Authors: | Hansen Michael Pilegaard |
Keywords: | decision theory: multiple criteria, heuristics: tabu search |
This paper examines the use of hashing in the multiobjective tabu search, TAMOCO. The hashing method was suggested by Woodruff and Zemel as a method of avoiding return to the already examined solutions in the standard single-objective tabu search. While the traditional tabu list is capable of ensuring this, it can normally only be used for cycles of a moderate length. The hashing method, however, can efficiently avoid cycles over a much larger number of iterations and must be considered a natural component in the tabu search tool-box. The paper reports from two experiments of practical models.