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；
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。
Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.
针对BP人工神经网络所存在的缺陷，结合差异演化算法，提出了基于DE - BP神经网络的旅游客源预测模型。
Constrained optimization evolutionary algorithm based on memory, which integrates particle swarm optimization (PSO) with differential evolution (DE), named MCOEA, is proposed.
本文作者还结合记忆策略、差异进化算法和粒子群优化算法提出记忆进化算法(MCOEA)。
An improved Differential Evolution (DE) algorithm was proposed to solve the problem of premature convergence and improve the computational efficiency of DE.
针对差分进化(DE)算法收敛早熟与计算效率不理想的问题，提出一种改进的差分进化算法。
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。
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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