A new multi-exponential inversion method for NMR relaxation signals is presented and tested, which is based on differential evolution (DE) algorithm.

提出了一种基于差分进化(DE)算法的核磁共振弛豫信号多指数反演新方法。

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It is based on a new branch of evolution algorithm named differential evolution (DE) and parallel computing techniques implemented on a PC-cluster.

该方法基于新的差异进化(DE)算法和并行计算技术，在PC集群上实现优化。

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The dynamic Differential Evolution (DE) algorithm with random mutation was proposed.

提出一种带有随机变异的动态差分进化算法。

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