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寻优性能
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  searching performance
     The test results on IEEE 16-bus, IEEE 33-bus and IEEE 69-bus distribution networks show the prominent efficiency and significant global optima searching performance of HGAPSO.
     通过对IEEE16节点、IEEE33节点、IEEE69节点测试系统的计算和分析表明,该方法在解决配电网络重构问题上具有很高的搜索效率和寻优性能
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     The method overcame the deficiency of the weighted sum method and improved the searching performance of GA.
     该方法克服了加权和方法的不足,用模拟退火改善了遗传算法全局寻优性能
短句来源
     According to the advanced searching ability of chaotic variables, overlapping agents with poor optima searching ability are transformed into chaotic swarms while the other continue their PSO process in order to improve the method' s global searching performance.
     该方法结合混沌变量良好的遍历特性及混沌优化的特点,对即将重合而引起搜索能力下降的粒子赋予混沌状态搜索,其余粒子仍以常规PSO方法搜索,从而提高PSO方法的寻优性能
短句来源
     The test shows that the antibody clone algorithm has the prominent efficiency and significant global optima searching performance,and can be effectively used to reconfigure power distribution network for making loading balance.
     算例表明本算法具有很高的搜索效率和寻优性能,可有效地应用于以负荷均衡为目标的配电网络重构。
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  “寻优性能”译为未确定词的双语例句
     The self-adaptive algorithm is adopted to improve the accuracy and convergence speed of BP networks.
     应用自适应算法对BP网络进行改进,可以提高BP网络的收敛速度和全局寻优性能
短句来源
     This algorithm combined GA with BP,which is called GA+BP algorithm and it realized the combination of GA's global search capability and BP algorithm's local optimize performance.
     这种将遗传算法与BP算法相结合的GA+BP算法,实现了遗传算法的全局搜索能力与BP算法的局部寻优性能的互补结合。
短句来源
     The function optimization problem of parameter optimization and nonlinear has been given to demonstrate that genetic algorithm is a better global optimization method.
     探讨Matlab遗传算法工具箱在参数优化和非线性规划中的应用。 通过优化实例,说明遗传算法是一种具有良好的全局寻优性能的优化方法。
短句来源
     It is applied genetic simulated annealing algorithm(SAGA)to solving the steel frame structural optimization.
     将遗传算法的全局寻优性能好和模拟退火的局部搜索能力强的优点相结合,提出了用于钢框架优化设计的遗传模拟退火算法,并对其进行了改进。
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     The experimental research on symmetry TSP shows that this algorithm has a good performance of global searching and has obtained good results.
     通过对对称TSP的实验表明,算法具有良好的全局寻优性能并得到很好的结果。
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  相似匹配句对
     Its performance is proved by simulation experiments.
     仿真实验结果表明了它的寻优性能 .
短句来源
     Optimization for Multi- Mood Engine Experiment
     发动机性能试验多工况综合寻优
短句来源
     Plant Performance
     设备性能
短句来源
     application forecast;
     性能预测;
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     AN ORTHOGONAL OPTIMIZATION METHOD
     正交寻优
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  searching performance
Searching performance of a real-coded genetic algorithm using biased probability distribution functions and mutation
      
In this article, we present a method of improving the searching performance of the RGA.
      
The aim is to study the effect of the page capacity on searching performance.
      
This behaviour improves the global searching performance.
      
Besides the improved searching performance, SEOM also provides additional features that were not provided in current XML accessing techniques.
      
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Various vehicle routing problems (VRPs) are encountered in many service systems such as delivery,customers pick up, repair and maintenance services. Most of existing VRP researches have been concentrated in the case of deterministic demands. Because of practical needs, the researches on vehicle routing problem with stochastic demands begin to draw much attention at home and abroad. This paper proposes an algorithm based on Hopfield neural network to solve the VRP with some kind of stochastic demands. The specific...

Various vehicle routing problems (VRPs) are encountered in many service systems such as delivery,customers pick up, repair and maintenance services. Most of existing VRP researches have been concentrated in the case of deterministic demands. Because of practical needs, the researches on vehicle routing problem with stochastic demands begin to draw much attention at home and abroad. This paper proposes an algorithm based on Hopfield neural network to solve the VRP with some kind of stochastic demands. The specific energy function and the network equations corresponding to the stochastic VRP are derived. The behavior of the algorithm is tested with numerical examples. The results show that the algorithm has good performance in both global and local searching. It is believed that the concurrent and adaptive mechanisms of neural network make the algorithm so efficient.

在涉及物资分发与收集或提供服务的诸多部门中有着各种各样的 VRP(车辆路由问题 ) ,现有的对于 VRP的研究主要集中在需求是确定性的情形。由于实际情况中需求往往是随机的 ,随机性需求情形 VRP的研究近年来得到了国内外学者的重视。本文利用 Hopfield人工神经网络解组合最优化问题时计算量不随维数指数增加这一优点 ,针对一类随机需求情形 VRP给出了一种 Hopfield人工神经网络解法。文中描述了相应于该 VRP优化问题的优化变量的编码 ,能量函数的构造和网络方程的推导 ,并通过算例考察了该算法的寻优性能。结果表明 ,该算法具有较好的局部寻优和整体寻优性能

The implementation and property analysis of a kind of adaptive fuzzy controller based on Genetic Algorithm have been discussed in this paper.Its aim is to achieve optimal fuzzy controlling results by using Genetic Algorithm to globally optimize the controlling parameters(adjusted factor and proportional factor)on the 3-D fuzzy controller.This kind of adaptive controller has a good dynamic and stable property shown from the experimental results.Finally,is has been successfully applied to the temperature control...

The implementation and property analysis of a kind of adaptive fuzzy controller based on Genetic Algorithm have been discussed in this paper.Its aim is to achieve optimal fuzzy controlling results by using Genetic Algorithm to globally optimize the controlling parameters(adjusted factor and proportional factor)on the 3-D fuzzy controller.This kind of adaptive controller has a good dynamic and stable property shown from the experimental results.Finally,is has been successfully applied to the temperature control on kiln stove by 8098 single chip controller.

主要研究了一种基于遗传算法的自适应模糊控制器的实现与性能分析。利用遗传算法的整体寻优性能对三维模糊控制器的调整因子和控制参数的比例因子进行优化组合 ,来达到对复杂被控对象的最佳控制效果。从实验数据结果分析表明 ,经遗传算法优化后的控制参数作用于模糊控制器 ,将使该控制器具有良好的动静态控制指标。最后还采用 80 98单片机实现了模糊自适应遗传控制器对窑炉炉温的控制 ,并取得了良好的效果。

A new random optimization method——the immune algorithm has been proposed to be applied in the power network planning in this paper. The IEEE-6 system has been used as a sample network to analyze and calculate, and the power network planning method based on the genetic algorithm has been compared with that based on the immune algorithm. The result shows that the immune algorithm is better than the genetic algorithm in global optimization. In this paper, the power network planning method based on the immune algorithm...

A new random optimization method——the immune algorithm has been proposed to be applied in the power network planning in this paper. The IEEE-6 system has been used as a sample network to analyze and calculate, and the power network planning method based on the genetic algorithm has been compared with that based on the immune algorithm. The result shows that the immune algorithm is better than the genetic algorithm in global optimization. In this paper, the power network planning method based on the immune algorithm has also been applied in a real power network in China and a good planning result is obtained.

将一种新的随机优化方法——免疫算法应用于电网规划 ,利用 IEEE-6节点系统作为样本网络进行分析计算 .并将该方法跟基于遗传算法的电网规划方法进行比较 ,结果表明免疫算法在全局寻优的性能方面要优越于遗传算法 .本文还将基于免疫算法的电网规划方法应用于我国某实际电力网络 ,取得很好的规划结果

 
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