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。
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。
The parameters selection of differential evolution (DE) is studied by experiments on some benchmark examples.
首先基于一些实例研究了差异演化（DE）的参数选择问题；
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