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| 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 |
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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.
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Received: 04 August 2000
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2002, Vol. 24 
