| 基于知识模型的改进遗传算法 |
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| 引用本文： | 顾慧,龚育昌,赵振西.基于知识模型的改进遗传算法[J].计算机工程,2000,26(5):19-20,86. |
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| 作者姓名： | 顾慧 龚育昌 赵振西 |
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| 作者单位： | 中国科学技术大学计算机科学技术系,合肥,230026 |
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| 摘 要： | 针对遗传算法个体进化缺乏明确导向的缺点，该文提出了一种基于知识模型的改进遗传算法，将遗传算法和神经网络有效结合起来，利用神经网络的学习功能。构造知识模型，用来引导群体中某些个体的进化。模拟实验验证了该算法的有效性。
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| 关 键 词： | 遗传算法 神经网络 知识模型 学习算法 |
A Knowledge Model Based Genetic Algorithm |
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| Gu Hui,Gong Yuchang,Zhao Zhenxi.A Knowledge Model Based Genetic Algorithm[J].Computer Engineering,2000,26(5):19-20,86. |
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| Authors: | Gu Hui Gong Yuchang Zhao Zhenxi |
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| Abstract: | To overcome one disadvantage of genetic algorithms that there is no explicit element to guid individuals' evolution, we propose a knowledge-model-based genetic algorithm in this paper. This algorithm combines the ideas of genetic algorithms and neural network, using the learning feature of neural network to form a knowledge model which guides some individuals' evolution. Asimulation example proves this algorithm's efficiency. |
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| Keywords: | Genetic algorithms Neural network Guide Knowledge model |
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