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采用遗传算法优化传统PID控制，选取了合适的优化函数，采用实数编码-Genetic algorithm to optimize the traditional PID control, select the appropriate optimization function using real-coded
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于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。-BP network weights optimization is a constrained optimization problem, and the right value to real-coded, so the direct use of the Matl
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二进制编码和实数编码的遗传算法，代码非常详尽，略有难度。-Binary coding and real-coded genetic algorithm, very detailed.
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The Real-coded genetic algorithm to find unknown
value or estimated value.
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This the real-coded genetic algorithm to run polynomial in order to find parameters.-This is the real-coded genetic algorithm to run polynomial in order to find parameters.
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The real-coded genetic algorithm to run SR mechenical.
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This the adaptive real-coded genetic algorithm-This is the adaptive real-coded genetic algorithm
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