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2下载：
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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用遗传算法来优化BP神经网络，进行网络训练，包含有实验数据-Using genetic algorithms to optimize the BP neural network, the network training, includes the experimental data
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遗传算法 优化 计算 建模 自变量 降维 -Genetic Algorithms Modeling Reduced variables
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A System for Automatic Construction of Exam
Timetable Using Genetic Algorithms
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Java实现遗传算法，针对10城市或20城市，根据遗传算法求出最终解-Java implementation of genetic algorithms, for the 10 cities or 20 cities, the final solution obtained based on genetic algorithms
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简要阐述了遗传算法的基本原理，探讨了在 环境中实现遗传算法各算子的编程方法，并以一个简单的实例说明所编程序在函数全局寻优中的应用。-Briefly described the basic principles of genetic algorithms to explore the genetic algorithm in the environment to achieve the operator' s programming, and a simple example shows t
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基于遗传算法与模糊系统的应用研究概述,自己查阅资料总结的，感觉很不错！-Based on Genetic Algorithms and Fuzzy System Applied Research, summarized their data access, feels really good!
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用遗传算法进行无线传感器网络的路由控制，降低WSN的能量损耗-Using genetic algorithms for wireless sensor network routing control and reduce energy consumption WSN
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用遗传算法解决旅行商问题，种群规模为2000，变异方法是将第二位上的基因放到第一位之前，适应函数为1除以路径长度8次方
，算法迭代125次。
-Solve the using genetic algorithms, population size is 2000, the second mutation is the gene into the first before the fitness function as a path length divided by the 8
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基于遗传算法的VRP程序，主要是其中几个操作，用c++编写-VRP procedures based on genetic algorithms, several of which operate mainly with the preparation of c++
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Rudolph G. Convergence analysis of canonical genetic algorithms. IEEE Trans. On Neural
Networks, 1994,5:96~101
[36] Rudolph G. Asymptotic convergence rates of simple evolutionary algorithms with Cauchy
mutations. IEEE Transactions on Evoluti
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基于遗传算法BP网络预测，代码没有使用遗传工具箱，而是根据遗传算法理论进行编程，有助于理解遗传算法原理-BP network prediction based on genetic algorithm, the code does not use genetic toolbox, but according to the theory of programming genetic algorithms, help to understand the principles of genetic a
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基于MATLAB的遗传算法，用遗传算法训练y=x^2的最大值-MATLAB-based genetic algorithm trained with genetic algorithms y = x ^ 2 the maximum
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这是一种对遗传算法的Matlab实现，此算法主要应用于求函数的极值。-This is a Matlab implementation of genetic algorithms, this algorithm is mainly used in extreme demand function.
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关于遗传算法的MATLAB代码，文件类型都是M文件-MATLAB code on genetic algorithms, file types are M files
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其中包含了三种算法，粒子群优化方法，遗传算法和蚁群算法-Which contains the three algorithms, particle swarm optimization, genetic algorithms and ant colony algorithm
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this is an e-book about Training Feedforward Neural Networks Using Genetic Algorithms
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Hill Climbing - an algorithm from genetic algorithms is in this package
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遗传算法——进化计算——计算智能——人工智能，用遗传算法来实现简单函数优化，-Genetic algorithms- Evolutionary Computation- Computational Intelligence- Artificial Intelligence
Simple genetic algorithm to function optimization
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The aim of this book is to furnish some theoretical concepts and to
sketch a general framework for computational intelligence paradigms
such as artificial neural networks, fuzzy systems, evolutionary computation,
genetic algorithms, genetic pro
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