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有关链路容量和流量优化分配的遗传算法
函数功能
使用遗传算法求解通信网链路容量和流量联合优化分配问题-Related to link capacity and flow of genetic algorithm to optimize the distribution function using genetic algorithm function communication network link capacity and traffic distribution of the
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Software for Large-scale Bound-constrained or Unconstrained Optimization
L-BFGS-B is a limited-memory quasi-Newton code for large-scale bound-constrained or unconstrained optimization. The code has been developed at the Optimization Technology Cent
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遗传算法应用程序使用说明：
1.安装MATLAB5.X；
2.建立目录：(c:\GeneticProgram),并将这里提供的所有源程序拷入该目录；
3.运行(c:\GeneticProgram)中的 startup；
4.在MATLAB Command Window内直接运行程序 FloatExample和BinaryExample。-Application of genetic algorithms for use: 1. Installation MATLAB5.X 2.
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使用遗传算法求解通信网链路容量和流量联合优化分配问题!-Communications network using genetic algorithm for solving the joint optimization of link capacity and flow allocation problem!
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为了优化协作通信系统的性能 ,提出了一种基于信道容量增益的中继节点选取策略 ,并在此基础上提出了源节点和中继节点最优功率分配算法.
协作通信 中继节点选取 功率分配 凸优化-A joint optimization st rategy for relay selection and power allocation is proposed to optimize the performance of cooperative communication system.cooperative c
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Joint Optimization of PAR Reduction and Digital
Predistortion for Wireless LAN Applications
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本文介绍了TCM技术背景，研究了TCM编码和译码的方法，讨论了TCM编码增益的来源，阐述了TCM的发展前景，并指出了周联合优化思想进行通信系统设计的重要性。-This article describes the the TCM technical background, the of TCM coding and decoding methods, sources of TCM coding gain on the prospects for the development of TCM, an
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灰色模型的背景值和求导过程的联合优化，效果非常不错-Joint optimization model and gray background value derivation process, the effect is very good
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抽水蓄能电站与风电的联合优化运行建模及应用分析-Joint optimization modeling and application analysis run pumped storage power station with wind power
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根据BMP图像的特点提出了基于Huffman编码的压缩方法分别采用RGB统一编码和RGB分别编码两种方式对图像进
行压缩和解压程序设计然后对多幅图像进行了压缩和解压实验最后对实验结果进行了相关的分析-Joint Optimization of Run-Length Coding, Huffman
Coding, and Quantization Table With Complete
Baseline JPEG Decoder Compatibility
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可伸缩音频编码论文，2012年，IEEE Trans. on SALP上的，权威期刊-Current scalable audio coders typically optimize performance at a particular layer without regard to impact on
other layers, and are thus unable to provide a performance trade-off between different layers.
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压缩感知将数据的采样和压缩同时处理，仅需少量测量就能重建信号。测量矩阵直接影响着信号适应
的稀疏度范围和重建效果。为了减小测量矩阵与稀疏变换矩阵的互相干性，提出一种基于 KSVD-ETF 的测量矩
阵和稀疏表达字典联合优化的方法，在对测量矩阵进行 ETF 优化的同时利用 KSVD 方法更新优化表达字典，实
验结果中利用该方法优化矩阵所得重建信号 PSNR 有所提高，表明优化测量矩阵的方法在重建效果方面有一定
的优势。- Compressive sensing, a novel s
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本文研究了有限反馈下基于博弈论的联合功率分配与反馈速率控制优化问题。通过建立新的博弈模型，证明了其纳什均衡的存在性。同时，根据功率与反馈速率的关系，提出了一种迭代算法，可快速收敛到博弈不动点。仿真结果表明，联合优化算法的性能优于单单考虑反馈速率的算法。-In this paper, under the limited feedback joint power allocation based on game theory and feedback rate control optimizatio
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Enabling Green Wireless Networking
With Device-to-Device Links: A Joint
Optimization Approach
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通信网链路容量和流量联合优化分配问题的遗传算法matlab程序-Communication network link capacity and traffic joint optimization allocation problem of matlab genetic algorithm
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通信网链路容量和流量联合优化分配问题的遗传算法matlab程序-Communication network link capacity and traffic joint optimization allocation problem of matlab genetic algorithm
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通信网链路容量和流量联合优化分配问题的遗传算法matlab程序-Communication network link capacity and traffic joint optimization allocation problem of matlab genetic algorithm
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通信网链路容量和流量联合优化分配问题的遗传算法matlab程序-Communication network link capacity and traffic joint optimization allocation problem of matlab genetic algorithm
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Communication network link capacity and traffic joint optimization allocation problem of matlab genetic algorithm
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本程序用于“多个火电机组、储能电站在电网调度指令的引导下的出力联合优化”，调度间隔为1min（可修改）。(This program is used for "joint optimization of output of multiple thermal power units and energy storage power stations under the guidance of power grid dispatching instructions". The di
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