Recently, it is expected to estimate widely distributed current sources or multiple-dipole sources. Various optimization algorithms are proposed for these estimations, while there must be some difficulties such as local minimization or time consuming problems in those methods. For example, simulated annealing (SA) takes a lot of time to search optimal solutions because this kind of algorithm is not allowed to narrow the search space. Therefore, we consider that genetic algorithm (GA), which is an optimization algorithm based on a mechanics of natural evolution, is effective in rapidly searching the global solution[l]. However, specific techniques are necessary to apply GA to biomagnetic source localization. In this paper, we try to improve an application of GA to be more simple, and to assess what effect it will have on these problems.
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