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Tabu search for multiobjective combinatorial optimization : TAMOCO

Hansen M.

Control and Cybernetics

2000

Vol. 29, no 3

799-818

This paper presents the multiobjective tabu search method, TAMOCO. Being an adaptation of the well-known tabu search, it can be used to generate approximations to the non-dominated solutions of multiobjective combinatorial optimization problems. TAMOCO works with a set of current solutions which, through manipulation of weights, are optimized towards the non-dominated frontier while at the same time seek to disperse over the frontier. The general procedure and some extensions to it are presented, as well as suggestions of usage in interactive procedures. A computational experiment is also presented.

Experiments concerning hashing in the multiobjective tabu search method TAMOCO

Hansen M.

Control and Cybernetics

2000

Vol. 29, no 3

789-798

This paper examines the use of hashing in the multiobjective tabu search, TAMOCO. The hasliing method was suggested by Woodruff and Zemel (1993) 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 insuring 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. We report from two experiments on practical models where the hashing component has been included into the TAMOCO-procedure ; with two different outcomes.