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模拟退火算法是为了避免求解最优化出现局部极值的问题而提出的算法，保证最终的结果是全局最优的，该matlab源程序能在matlab环境中实现-simulated annealing method is the best solution in order to avoid a partial optimization of extreme concern raised by the algorithm to ensure that the final result is that the glob
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改进二维插值算法，应用并实现，希望对大家有所帮助。-simulated annealing method is the best solution in order to avoid a partial optimization of extreme concern raised by the algorithm to ensure that the final result is that the global optimum, the source Matlab can achieve Ma
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matlab 下的遗传算法源码，可以应用到大部分情况的全局寻优。-By using matlab ，I have provided a genetic algorithm source code, which can be applied to most cases of global optimization.
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包含简单约束的全局优化算法，matlab版本-Contains a simple constraint global optimization algorithm, matlab version
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模拟退火算法的MATLAB实现，通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively av
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the cma algorithm, written by matlab. It is global optimization method.
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遗传算法是一种全局最优化算法，是运用了进化论优胜劣汰原理的随机化搜索方法。
前些日子，在进行毕业设计的相关研究中，我接触到了遗传算法，用其对一个五元非线性函数进行最优化搜索。仿真平台使用的是matlab，主要使用的是谢菲尔德大学的matlab遗传算法工具箱。(Genetic algorithm is a global optimization algorithm, is the use of evolution theory of survival of the fittest randomi
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