The non-specialist will be able to obtain at least a notion of the sorts of data and argument that support evolutionary theory.
这个非专家的人将能够至少从许多的数据和争议对于支持进化论的获得一宗观念。
Evolutionary computation has found vast application to many science fields, of which evolutionary non-linear parameter evaluation is one direction.
演化计算在不同的科学领域得到了广泛的应用，其中演化非线性参数估计是演化计算的应用方向之一。
The evolutionary process is provided with some characters of dissipative system, such as an open system far from the balanced state, the non-linear and fluctuation.
知识网络演化过程具备开放性、远离平衡态、非线性及涨落等耗散系统特征。
This paper proposes a rough evolutionary approach to non parametric system identification.
提出了一种用于非参数系统辨识的粗糙进化方法。
In this paper, the evolutionary random excitations acting on structures are assumed to be non uniformly modulated, i. e. the modulation functions depend both on time and frequency.
本文假定结构受到非均匀调制的演变随机激励，亦即其调制函数是时间与频率二者的函数。
Therefore, the evolutionary algorithms have been successfully applied to various fields, especially to some complex, large scale, nonlinear and non-differentiable optimization problems.
其独特的性能已在众多领域内获得了成功的应用，着重用于解决复杂的、大规模的、非线性、不可微的优化问题。
Furthermore, drawing from the evolution of technological innovation, we also analyze the linear and non-linear evolutionary processes of knowledge.
进而从技术创新演化进程入手，分析了知识的线性和非线性演化进程。
And through compare with non-Evolutionary Map building method, the Evolutionary Reinforcement learning algorithm can increase search map efficiency and expedite convergence speed of global map.
通过与非进化模式下的多机器人地图构建方法的比较，该算法可以提高地图搜索的效率，加快全局地图的收敛。
And through compare with non-Evolutionary Map building method, the Evolutionary Reinforcement learning algorithm can increase search map efficiency and expedite convergence speed of global map.
通过与非进化模式下的多机器人地图构建方法的比较，该算法可以提高地图搜索的效率，加快全局地图的收敛。
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