Mahout contains implementations for clustering, categorization, CF, and evolutionary programming.
Mahout包含许多实现，包括集群、分类、CP和进化程序。
Adaptive evolutionary programming is used to optimize the structure and parameters simultaneously.
利用自适应进化规划同时优化规则基的结构和参数。
Multiobjective evolutionary programming is one of available methodologies for multiobjective optimization.
演化规划算法是解决多目标优化问题的算法之一。
A comprehensive improving evolutionary programming method to optimize voltage and reactive power is presented.
提出了一种应用于电力系统无功优化的综合改进进化规划方法。
In this paper, a kind of accelerated evolutionary programming is presented to training the fuzzy neural networks.
提出了一种训练模糊神经网络的加速进化规划算法。
This paper proposes one approach for intrusion detection based on fuzzy classifiers and evolutionary programming.
应用进化编程自动产生若干条模糊规则以检测各种攻击。
A new adaptive evolutionary programming, in which population is encoded by binary and complex-valued, is presented.
提出一种新的二进制和复数混合编码的自适应进化规划方法。
In this article, a kind of accelerated evolutionary programming is presented to training the fuzzy neural networks.
本文提出了一种训练模糊神经网络的加速进化规则算法。
Studies the mutation operation, fitness calculation and competition-selection scheme of evolutionary programming method.
对进化规划的变异操作、适应度计算及竞争选择方案进行了研究。
The result shows that improved evolutionary programming is much more appropriate of none line model with a great volume of data.
结果表明对于数据量庞大的非线性模型的优化求解，改进后的进化规划算法具有更强和更广泛的适用性。
Finally, evolutionary programming which is the representation of evolutionary algorithms compares with other evolutionary algorithms.
最后，以进化规划为进化算法的代表，对其区别加以分析。
Evolutionary Programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems.
进化规划(EP)是一种随机优化技术，它可以发现全局最优解。
Based on the former research, we study the tabu search, simulated annealing and evolutionary programming in the aspects of theory, application and improvement.
作者在前人的工作基础上，对禁忌搜索、模拟退火和进化规划及其理论与应用进行了较深入的研究。
In this paper, we propose an improved evolutionary programming using a mixed strategy based on Gaussion mutation and single-point mutation, which is named SPCEP.
提出一种基于经典进化算法和单点变异算法的混合策略进化算法SPCEP。
If you're reading this in the Northern Hemisphere, bear in mind that your evolutionary programming means you're primed to seek out calorific food sources in winter.
如果是生活在北半球，请记住，你的进化规则意味着冬天你得寻找有热量的食物。
Based on evolutionary programming, a novel algorithm named EPANN for designing the topology and weight distributions of feedforward networks is proposed in this paper.
基于进化规划(EP)方法，该文提出了设计多层前向网络拓扑结构和权值分布的一种新算法—EPANN算法。
Inspired from modular programming, we proposed a module based evolutionary programming of ANNs, which puts emphasis on inheriting from the learned networks of small scale problem.
提出一种新的模块化进化神经网络方法，用于大规模或复杂问题的神经网络设计。
Based on the analysis of the premature convergence of traditional evolutionary programming, a forgetting strategy based bi-subgroup evolutionary programming (FSBEP) algorithm is proposed.
在分析导致进化规划算法早熟原因的基础上，提出了一种基于遗忘策略的双群进化规划算法。
The analysis of reasons and merits for improved part were proposed. The main steps of the algorithm were given and the convergence of adaptive immune evolutionary programming were formulated.
对各部分改进的原因和优点进行了分析，给出了算法的主要步骤，并对自适应免疫进化规划的收敛性进行了说明。
The global random searching ability of adaptive evolutionary programming algorithm and high evolutionary ability by the method in this paper is illustrated by the result of actual power systems.
算例表明，论文算法不仅保留了自适应进化规划算法的全局搜索能力，而且还具有高效的进化能力。
The knowledge extracted during evolution guide the evolution of population-space based on evolutionary programming. The design of belief-space for constrained optimization is described in detail.
求解过程中，在基于自适应的文化算法中引入进化规划，有效利用进化过程中相关知识引导种群进化。
In this paper, based on the analysis of traditional evolutionary programming premature convergence, a novel bi-group evolutionary programming based on chaotic mutation (CMBEP) algorithm is proposed.
该文在分析了导致进化规划算法早熟原因的基础上，提出了一种基于混沌变异的多群进化规划算法。
The plant function that includes inventory cost, supply cost and production level was presented. And the optimizing result of the supply chains was computed by using genetic evolutionary programming.
这一模型含有线性状态方程和神经网络非线性模型，提出了库存成本、供应成本、生产水平等在内的供应链目标函数。
With evolutionary design, you expect the design to evolve slowly over the course of the programming exercise.
在演化设计时，开发者在编程实践的过程中，往往希望设计能慢慢的自然演化出来。
With evolutionary design, you expect the design to evolve slowly over the course of the programming exercise.
在演化设计时，开发者在编程实践的过程中，往往希望设计能慢慢的自然演化出来。
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