AN UNIVERSAL TABU SEARCH ALGORITHM FOR GLOBAL OPTIMIZATION OF MULTIMODAL FUNCTIONS WITH CONTINUOUS-VARIABLES IN ELECTROMAGNETICS

An universal tabu search algorithm for the optimization of functions w ith continuous variables is presented based on the tabu method so far used. Essentially, the improvements include the transition criterion f or different states, the determination of the step vector, the cancell ation of tabu list, the stop criteria, and the restart from the optimu m etc.. The numerical performances of the present algorithm are invest igated using a benchmark problem and the geometry optimization of the multisection are pole shoe in large salients pole synchronous generato rs.