Genetic algorithm combined with local optimization in MEG\s inverse solution

Li Jun; Zhu Hongyi; Sailing He

Volume 24 Issue 6

Jun. 2002

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Li Jun, Zhu Hongyi, Sailing He. Genetic algorithm combined with local optimization in MEG\s inverse solution[J]. Journal of Electronics & Information Technology, 2002, 24(6): 800-804.

Citation:

Li Jun, Zhu Hongyi, Sailing He. Genetic algorithm combined with local optimization in MEG\s inverse solution[J]. Journal of Electronics & Information Technology, 2002, 24(6): 800-804.

Li Jun, Zhu Hongyi, Sailing He. Genetic algorithm combined with local optimization in MEG\s inverse solution[J]. Journal of Electronics & Information Technology, 2002, 24(6): 800-804.

Citation:

Li Jun, Zhu Hongyi, Sailing He. Genetic algorithm combined with local optimization in MEG\s inverse solution[J]. Journal of Electronics & Information Technology, 2002, 24(6): 800-804.

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Genetic algorithm combined with local optimization in MEG\s inverse solution

Li Jun^{①;朱红毅},
Zhu Hongyi,
Sailing He

Received Date: 2000-08-04
Rev Recd Date: 2001-02-19
Publish Date: 2002-06-19

Abstract

Abstract

MEGs 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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References

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