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优化问题是工业设计中经常遇到的问题,许多问题最后都可以归结为优化问题. 为了解决各种各样的优化问题,人们提出了许多优化算法,比较著名的有爬山法、遗传算法等.-Industrial design optimization problem is often encountered problems, many problems can be attributed to the final optimization problem. In order to solve a wide range of
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求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等)，遗传算法的求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解。-Solving Bilevel Programming Problems with pole algorithm commonly used algorithms, direct search method, descent
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遗传算法原理及应用总结PPT,较全面.可供初学者使用-Summary on the application of genetic algorithms for PPT, more comprehensive. For beginners
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GA遗传算法资料大整合，包括基于遗传算法的模糊神经网络控制和遗传算法在图书采购决策中的应用等等，很全的遗传算法总结-GA GA large data integration, including the genetic algorithm based fuzzy neural network control and genetic algorithms in the book of the procurement decision-making, etc., are all summed up
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Zone Routing Protocol (ZRP) is a most promising and widely accepted and well proved hybrid routing
protocol in Mobile Ad-hoc Networks (MANETs) for its performance when compared with table-driven and
on-demand protocols. Our study is based on usin
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由于圆形阵列所具有的特性，使其正得到日益广泛的应用，但是圆阵方向图却具有
相对主瓣较高的旁瓣电平。为此，本文针对均匀圆形阵列的天线单元，应用遗传算法,分别
进行唯相位、唯幅度、相位-幅度的方向图综合方法，进行旁瓣电平的优化。仿真结果表明：
这些方法可有效地降低圆阵的旁瓣电平，为解决此类问题提供了有益的参考。 -Circular array of features, are being increasingly widely used, but the circular arra
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Wireless Mesh Networks (WMNs) are a promising technology
for providing broadband wireless access to the end
user. They offer a higher degree of flexibility compared to
traditional networks but on the expense of a more complex
structure. Thus,
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小波神经网络、遗传算法优化神经网络代码，测试可以使用，但具体的原理不是很懂！
-Wavelet neural networks, genetic algorithms to optimize neural network code, the test can be used, but the principle is not very specific!
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Adaptive Radio Resource Management for GSM using Neural Networks and Genetic Algorithms
Ken Murray and Dirk Pesch
Adaptive Wireless Systems Group
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Shortest Path, Traveling Salesman and Hamiltonian Cycle are the other network
design problem. These problems are very common to back bone network design
problem. In all these three problems, the main difference is the degree of the node
whic
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MIMO 检测与HARQ 合并中的不确定性处理研究，介绍了通过证据理论的方法进行MIMO信号检测，以及HARQ合并，同时也介绍了一些人工智能算法，例如遗传算法或模拟退火算法-MIMO detector combined with the uncertainty HARQ processing research, describes the method of performing MIMO signal detection theory of evidence, and HARQ merger,
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采用遗传算法的自适应随机共振系统弱信号检测方法研究-Adaptive stochastic resonance system weak signal detection method using genetic algorithms
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关于OFDM的英文论文，很难找的，希望对大家有帮助-Optimization of OFDM radar waveforms using genetic algorithms
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genetic algorithm PPT
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人脸识别中的光照处理方法，用MATLAB编写的遗传算法路径规划，空间目标识别，采用PM算法。- Face Recognition light treatment method, Genetic algorithms using MATLAB path planning, Space target recognition algorithm using PM.
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仿真效果非常好，用MATLAB编写的遗传算法路径规划，D-S证据理论数据融合。- Simulation of the effect is very good, Genetic algorithms using MATLAB path planning, D-S evidence theory data fusion.
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仿真效果非常好，可以实现模式识别领域的数据的分类及回归，用MATLAB编写的遗传算法路径规划。- Simulation of the effect is very good, You can achieve data classification and regression pattern recognition, Genetic algorithms using MATLAB path planning.
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