 
                                                                                | 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.