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| 基于约束区域神经网络的动态遗传算法 |
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陶卿1,2, 曹进德3, 孙德敏1, 方廷健4
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1.中国科学技术大学 自动化系,安徽 合肥 230027;2.中国人民解放军炮兵学院一系,安徽 合肥 230031;3.东南大学 应用数学系,江苏 南京 210096;4.中国科学院 合肥智能机械研究所,安徽 合肥 230031
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| 摘要: |
| 提出一种基于约束区域神经网络的动态遗传算法,将遗传算法的全局搜索和约束区域神经网络模型的局部搜索结合了起来.利用动态遗传算法确定神经网络模型的初始点,同时使用神经网络确定动态遗传算法的适应度函数.该算法具有一定的理论意义和生物意义.与标准的遗传算法相比,缩小了搜索规模,可获得不定二次规划问题更好的近似最优解. |
| 关键词: 遗传算法 神经网络 二次规划 |
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| A Dynamic Genetic Algorithm Based on the Neural Network with Constraints |
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TAO Qing,CAO Jin-de,SUN De-min,FANG Ting-jian
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| Abstract: |
| In this paper, a kind of dynamic genetic algorithm based on the neural network with constraints is presented, which combines the local searching ability of neural network with the global searching ability of genetic algorithm. The dynamic algorithm is used to decide the initial point of the neural network, and the neural network is employed to decide the fitness of the dynamic genetic algorithm. The proposed algorithm has some theoretical and biological meanings. Compared with the standard genetic algorithm, it can decrease the searching scale and get the approximate solution of quadratic programming problems that are non-definite. |
| Key words: genetic algorithm neural network quadratic programming |
