TABU SEARCH METAHEURISTICS FOR GLOBAL OPTIMIZATION OF ELECTROMAGNETICPROBLEMS

This paper presents a Tabu Search based strategy which has been applie d to optimize the objective function associated to the design of a sol enoids system. For this kind of problem, Tabu Starch strategies are ab le to find the global minimum with considerably better performance tha n that obtained using a Simulated Annealing algorithm. Algorithms used to perform the self-tuning of Tabu Search parameters have also been d eveloped, achieving interesting improvements in terms of computing tim e and quality of the solutions, Such algorithms are an original develo pment of Reactive Tabu Search and they are based on the past history o f the search. Tabu Search strategies have also been applied in continu ous optimization of the same problem with encouraging results.