Fast and robust localization of brain electrical sources using evolution strategies: Monte-carlo simulation and phantom experiment studies

Abstract

In this paper, μ + □ evolution strategy (ES) was applied to brain electrical source localization problems using electroencephalography (EEG). The results by the ES were compared to those by simulated annealing (SA) and genetic algorithm (GA), which have been typically used for the brain source localizations. Monte-Carlo simulation and phantom experiment study demonstrated that the use of ES could enhance both accuracy and computational efficiency.