①浙江大学现代光学仪器国家重点实验室,光及电磁波研究中心,杭州,310027;②浙江近代物理中心,浙江大学理学院物理学系,杭州,310027;③Dept.of Electromag.Theory,Royal Institute of Technology,Stockholm,Sweden
Genetic algorithm combined with local optimization in MEG\’s inverse solution
Li Jun①; Zhu Hongyi②; Sailing He③
①Center for Optical and Electromagnetic Research, Inforntation College, Zhejiang Univ., Hangzhou 310027. China;②Zhejiang Inst. of Modern Phy. and Dept. of Phy.,Zhejiang Univ., Hangzhou 310027. China;③Dept.of Electromag.Theory,Royal Institute of Technology,Stockholm,Sweden
Abstract：MEG’s inversion is an important aspect in MEG studies. Generally, global optimization methods are usually used on estimating parameters of multidipole source, but these methods are of low convergence speed. To increase the computing speed, a strategy based on genetic algorithm combined with local optimization is adopted. This method has the ability of overcoming the problem of local minima, and has fast convergence speed. Computer simulation with real brain-shaped head model demonstrated the efficiency of the proposed strategy.
2002, Vol. 24 
