title: Resistivity parameters estimation based on 2D real head model using improved differential evolution algorithm.
abstract: The improved Differential Evolution (DE)algorithm is proposed in this paper to solve the resistivity parameters estimation problem based on 2D real head model. Our simulations demonstrate that the improved DE algorithm is robust in obtaining high quality reconstruction, and the convergence is much faster than the usual DE algorithm.Furthermore, the selection of the amplification parameters is much easier.
authors.affiliation: Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China. yli@hebut.edu.cn
authors.forename: Ying
authors.initials: Y
authors.lastname: Li
authors.forename: Guizhi
authors.initials: G
authors.lastname: Xu
authors.forename: Lei
authors.initials: L
authors.lastname: Guo
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
authors.forename: Shuo
authors.initials: S
authors.lastname: Yang
authors.forename: Liyun
authors.initials: L
authors.lastname: Rao
authors.forename: Renjie
authors.initials: R
authors.lastname: He
authors.forename: Weili
authors.initials: W
authors.lastname: Yan
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006257:Head / Q000033:anatomy & histology*; D006801:Humans; D008953:Models, Anatomic