hga
- 网络混合遗传算法;磁头悬架组件;递阶遗传算法;人粒细胞无形体病
![hga](../cache/637448.jpg)
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HGA is applied to solve the assignment problem quite well .
运用混合式遗传算法较好地解决了指派问题。
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Design and Realization of charger of fuzzy neural controller based on HGA
基于HGA的模糊神经控制充电器设计与实现
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Layout of Material Storage in Space Based on HGA
基于HGA空间物资存储任务规划方法
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In addition , a new HGA with immune mechanism is proposed for further improvement .
为了进一步改善HGA的优化效果,提出了一种新的具有免疫机制的HGA,实现了对遗传算法的有益补充。
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Vision System Design for HGA Loading Machine
HGA装载机视觉系统的设计
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Solution of QoS Multicast Routing Problems Based on HGA
基于混合遗传算法的多约束组播路由问题的求解
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The Study of Multi-goal Layout on Outlay Distribution Based on HGA
基于混合遗传算法的经费分配多目标规划研究
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And then the model identification and optimized control methods via remote network are presented respectively according to HGA .
然后提出了基于HGA的远程网络辨识算法和远程网络优化控制算法。
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The new method of recognition for continuous system by using hierarchical genetic algorithm ( HGA ) is stated .
提出采用分层遗传算法(HGA)辨识连续系统的新方法。
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It is expected that the paper can have a certain reference value to the research and application of HGA .
预期本文对于硬件遗传算法的研究与应用具有一定的参考价值。
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A hierarchical genetic algorithm ( HGA ) is proposed for designing digital controllers under nonlinear conditions .
在非线性因素存在的情况下,采用了分层遗传算法设计数字控制器。
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The Application Investigation of Hybrid Genetic Algorithm ( HGA ) for Multi-User Detection in CDMA Mobile Communications
混合遗传算法在CDMA移动通信多用户检测中的应用研究
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A new algorithm for parameter estimation of nonlinear regression modeling based on hybrid genetic algorithm ( HGA ) is proposed .
提出一种新的基于混合基因算法(HGA)的非线性回归模型参数估计算法。
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Combining ICP and HGA two measurement techniques a relative complete method of analyzing multielements of water is formed .
本文把电感耦合等离子体(ICP)和石墨炉原子吸收(HGA)两种测试技术结合起来,构成分析水中多元素较为全面的方法。
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The cases of HGA were recently reported in America , Europe and Africa , and also found in our country .
近年来,在美国、欧洲、非洲等地均有相关病例报道,我国也有病例发现。
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Thermodynamic analysis suggested that the adsorption of HGA to ammonia was spontaneous and endothermic .
热力学计算表明:在298-318K范围内,HGA对废水中氨氮的吸附是一个自发的吸热过程。
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The paper presents a hybrid genetic algorithm ( HGA ) based on gradient to select the optimal stagger-code .
本文采用了结合梯度的混合遗传算法(HGA)选择最优参差码,与标准遗传算法(SGA)相比,该算法只需要很小的种群规模。
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The HGA simulated the biological structure and evolution mechanism in nature , it has strong ability of structure presentation and global optimization .
HGA模拟了自然界的生物结构和进化机制,具有很强的结构表示能力和全局寻优能力。
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Then , two optimized controllers are presented respectively according to HGA and based on the different modulation mechanism of neuroendocrine-immune system .
并在此基础上,基于不同的神经内分泌免疫系统调节机理,先后设计了两种非线性优化智能控制器。
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Heads Gimbal Assembly or HGA attached to the Arm .
万向首脑大会,或附着在手臂的HGA。
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A new algorithm for Hybrid Genetic Algorithm ( HGA ) is proposed in view of the vehicle routing problem ( VRP ) .
针对车辆路径问题提出一种新的混合遗传算法。
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Moreover , two hybrid optimization strategies are also put forward in this paper . They are BP + SA and HGA + BP .
此外,本文还对BP+SA和HGA+BP两种混合优化策略进行了系统研究。
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The hierarchical model of CE-oriented scheduling system and its prototype with HGA as its core technique are also discussed in the end .
最后本文讨论了面向并行工程的调度系统的层次模型和以混合遗传算法为核心的原型设计。
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The mathematical mode of a sequencing problem in management system is raised and it is solved successfully by designing the responding HGA computer program .
提出了生产管理中一类排序问题的数学模型并设计了有效的混合式遗传算法求解程序。
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The using of hybrid Genetic Algorithm ( HGA ), which hybridizes Genetic Algorithm and Simplex algorithm is to study the optimizing method to design products .
采用遗传算法+单纯形法的混合遗传算法(HGA),用于产品的优化设计。
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A hybrid genetic algorithm ( HGA ) was proposed for process route optimization of FMS ( Flexible Manufacturing System ) based on closed queueing networks .
针对FMS工艺路线优化配置问题提出一种混合遗传算法。
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A further result on the Markov chain model of HGA shows that it is a global stochastic searching method and can converge with probability one .
采用马尔可夫链方法证明了HGA是以概率1收敛的全局随机搜索算法。
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A hybrid genetic algorithm ( HGA ) was presented to solve the delay and delay jitter-constrained least-cost multicast routing problem .
研究了延时、延时抖动约束的最小费用组播路由问题,并且提出了一种混合遗传算法。
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A new type of improved Gas-Hybrid Genetic Algorithm ( HGA ) is put forward , and its program is designed to solve the problem of function optimization .
提出了一种新的改进遗传算法&混合式遗传算法,设计了解决函数优化混合式遗传算法运行程序。
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This algorithm improves the method of coding , fitness function , operations of HGA , auto-adaptive parameter and a genetic simulated annealing algorithm is proposed .
通过对编码方式、适应度函数及遗传操作等的重新设计,并采用自适应的参数设计方式及结合模拟退火算法思想,得到了一个针对本问题的改进的混合遗传算法。