文件名称:pso2
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 220kb
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- 提 供 者：
- 赵
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借助胞腔, 并利用遗传算法能够最终收敛于非线性多峰函数全局最优解的特点, 动态
地剖分和排除胞腔, 从而构成一种新型遗传算法——胞腔排除遗传算法, 利用该算法可求取非
线性多峰函数全部全局最优解。仿真实验表明该算法合理、有效。-With cell cavity, and the use of genetic algorithms will eventually converge to the nonlinear multimodal function global optimum characteristics, dynamic partitioning and rule out the cell cavity, so as to constitute a new type of genetic algorithms- genetic algorithm for cell excluding the use The algorithm can strike all the non-linear multimodal function global optimal solution. Simulation results show that the algorithm is reasonable and effective.
地剖分和排除胞腔, 从而构成一种新型遗传算法——胞腔排除遗传算法, 利用该算法可求取非
线性多峰函数全部全局最优解。仿真实验表明该算法合理、有效。-With cell cavity, and the use of genetic algorithms will eventually converge to the nonlinear multimodal function global optimum characteristics, dynamic partitioning and rule out the cell cavity, so as to constitute a new type of genetic algorithms- genetic algorithm for cell excluding the use The algorithm can strike all the non-linear multimodal function global optimal solution. Simulation results show that the algorithm is reasonable and effective.
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求多峰函数全部全局最优解的胞腔排除遗传算法.pdf