利用自适应进化规划同时优化规则基的结构和参数。
Adaptive evolutionary programming is used to optimize the structure and parameters simultaneously.
提出了一种训练模糊神经网络的加速进化规划算法。
In this paper, a kind of accelerated evolutionary programming is presented to training the fuzzy neural networks.
最后，以进化规划为进化算法的代表，对其区别加以分析。
Finally, evolutionary programming which is the representation of evolutionary algorithms compares with other evolutionary algorithms.
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。
A new adaptive evolutionary programming, in which population is encoded by binary and complex-valued, 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。
A comprehensive improving evolutionary programming method to optimize voltage and reactive power is presented.
而且有些研究也支持这个观点，表明性别的不同可能是生物根源或进化规划。
And some research has supported this, suggesting that the gender differences may be biologically rooted or evolutionarily programmed.
进化规划(EP)是一种随机优化技术，它可以发现全局最优解。
Evolutionary Programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems.
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。
Studies the mutation operation, fitness calculation and competition-selection scheme of evolutionary programming method.
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。
Based on the analysis of the premature convergence of traditional evolutionary programming, a forgetting strategy based bi-subgroup evolutionary programming (FSBEP) algorithm is proposed.
运用模糊优化和进化规划方法，研究新风险概念下的模糊证券组合选择，并给出了其相应算法。
Then the methods of fuzzy optimization and evolution programming are adopted to study the portfolio investment under a new risk concept, and an algorithm for solving the problem is given.
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。
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.
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 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.
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。
Based on the former research, we study the tabu search, simulated annealing and evolutionary programming in the aspects of theory, application and improvement.
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。
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.
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。
The result shows that improved evolutionary programming is much more appropriate of none line model with a great volume of data.
考虑到冲击地压时序的特点，采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。
Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.
分别用进化计算中的遗传算法和进化规划进行了简易海洋平台基于非线性疲劳损伤模型的疲劳可靠性优化设计。
Both genetic algorithms and ev0lutionary programming are applied to the fatigue reliability-based optimum design of a simple off shore platform.
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。
Based on evolutionary programming, a novel algorithm named EPANN for designing the topology and weight distributions of feedforward networks is proposed in this paper.
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 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.
针对此问题，将退火概率与适应度结合的选择方式引入进化规划算法的选择操作，形成了退火进化规划算法（AEP）。
To this problem, annealing probability formation was introduced into the selection of EP and a new algorithm:annealing EP(AEP)was got.
用其他随机优化算法（模拟退火算法、遗传算法、进化规划等）与免疫算法进行了比较研究，给出了他们的异同点、免疫算法的优点等。
We made improvement to the search mechanism of the traditional Ant Colony Algorithm(ACA), put forward a Random Ant Colony Algorithm(RACA), and applied it in air combat decision.
提出一种应用双种群二进制微分进化算法求解输电网扩展规划的新方法。
By applying the binary differential evolution algorithm with dual subpopulations, a novel approach of solving transmission network expansion planning is presented.
面向多无人机协同作战的航路设计问题，提出了一种较新颖的多无人机协同航路规划共同进化方法。
To resolve the path design problem for cooperative UAVs, a new co-evolutionary computing based path planning method is proposed.
求解方法主要有数学规划法和多目标进化算法。
The solution methods mainly have mathematics programming and the multi-objectives evolution algorithms.
在分析多峰值函数优化问题的基础上，提出了一种基于进化计算的飞行器多航迹规划方法。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
在分析多峰值函数优化问题的基础上，提出了一种基于进化计算的飞行器多航迹规划方法。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
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