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标准遗传算法,优化函数为f=-(x-1)^2+4,其中,0<=x<=3,建议初学者使用- Standard genetic algorithms, optimization function f =- (x-1) ^ 2+4, where, 0 < = x < = 3, recommended for beginners to use
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program solve teacher scheduling problem in using genetic algorithms-program solve teacher scheduling problem in using genetic algorithms
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二维光子晶体禁带的遗传优化算法,在平面波展开法的基础上,使用遗传算法寻找具有最大光子禁带的二维光子晶体结构-Two-dimensional photonic crystal band gap genetic algorithm, in the plane wave expansion method based on the use of genetic algorithms to find a maximum two-dimensional photonic band structure of
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有关遗传算法的一些内容,比较详细,可以作为参考-Some elements of genetic algorithms, more detailed, can be used as reference
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实数编码遗传算法求Rosenbrock函数极大值-Real-coded genetic algorithms maximum Rosenbrock function
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matlab量子遗传算法及调试信息
txt文档中的是matlab .m文件源码-the quantum genetic algorithms and some of this test info.
the txt doc. contain .m(matlab) doc.
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查找附近的最优解的遗传算法的TSP的使用-Find the optimal solution near the TSP' s use of genetic algorithms
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遗传算法工具箱,还有遗传算法需要的全部函数,来之不易-Genetic algorithm toolbox, as well as all the required functions of genetic algorithms, hard-won
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用遗传算法完美解决八皇后问题! 有详细的注释-Using genetic algorithms to solve the eight queens problem perfectly! Detailed notes
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神经网络与遗传算法的结合,实现自动扫雷机-Neural Networks and Genetic Algorithms, automatic de-mining machine
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遗传算法是1962年由美国Michigan大学的Holland教授提出的模拟自然界遗传机制和生物进化论而形成的一种并行随机搜索最优化方法[1-3],
在自动控制领域中得到了越来越广泛的应用。该文引入了“稳定区域算法”求取闭环系统稳定的PID控制器参数区间,并以此算法的计算结果限定进
化算法的参数寻优区间,通过仿真试验取得了令人满意的控制效果。-Genetic Algorithms is proposed by the University of Michigan’s Professor
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王小平的遗传算法书,包含了此书中的所有算法和实例,有助于初学者的理解。-Wang Xiaoping genetic algorithms books, this book contains all the algorithms and examples will help beginners to understand.
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基于遗传算法的车间布局优化MATLAB源码
车间布局优化是将加工设备、物料输送设备、工作单元和通道走廊等布置物体合理地放置在一个有限的生产车间内的过程。车间布局优化模型是一个含有较为复杂约束的非线性连续优化模型,可以使用遗传算法进行优化。
-Layout based on genetic algorithms optimization MATLAB Optimization is the source plant processing equipment, material handli
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关于遗传算法的的例子,很有特点,很有针对性-Examples of genetic algorithms, unique features, very targeted
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在本讲义中,我们将着重讲述一些数学建模中常用的算法,包括神经网络算法、遗传算法、模拟退火算法和模糊数学方法。-In this lecture, we will focus on talk about some commonly used mathematical modeling algorithms, including neural networks, genetic algorithm, simulated annealing algorithm and fuzzy mathematics
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用遗传算法解决旅行商问题(附源代码),遗传算法其实是一种求函数极值的随机搜索算法。-Solving the traveling salesman problem using genetic algorithms (with source code), genetic algorithm is a kind of extreme demand function of random search algorithm.
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这是一个源程序集,里面包含了众多基于遗传算法的matlaB源程序-This is a process b set, which contains a large number of source code based on genetic algorithms matlaB
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基于遗传算法的认知无线电频谱分配,英文资料-Cognitive radio based on genetic algorithms spectrum allocation, English information
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用遗传算法求函数 max f(x1,x2) = 100 (x1^2-x2^2)^2 + (1-x1)^2, -2.005 ≤ xi ≤ 2.005 的最大值-Using genetic algorithms get max f (x1, x2) = 100 (x1 ^ 2-x2 ^ 2) ^ 2+ (1-x1) ^ 2, when-2.005 ≤ xi ≤ 2.005
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旅行商的遗传算法 包括次序交叉和部分映射交叉,插入变异和交换变异-Genetic algorithms include traveling salesman and part of the order of cross-mapped crossover, mutation and exchange mutation into the
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