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。

关键词: 遗传算法, 神经网络, 引导, 知识模型

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.

中图分类号: 

• TP18