Global Optimization Approaches to MEG Source Localization

In. this paper: we compare the performance of three typical and widely used optimization techniques for a specific M E G source localization problem. Firstly, we introduce a hybrid algorithm by combining genetic and local search strategies t o overcome disadvantages of conventional genetic algorithms. Secondly, we apply the tabu search. a widely used optimization methods in combinational optimization and discrete mathematics: to source localization. To the best of our knowledge, this is the first attempt an the literature to apply tabu search to M E G / E E G source localization. Thirdly, in order to further comparison of the performance of above algorithms, simulated annealing is also applied t o M E G source localization problem. The computer simulation results show that our local genetic algorithm is the most effective approach to dipole location.