| 交互式遗传算法基于NN 的个体适应度分阶段估计 |
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| 引用本文： | 周 勇,巩敦卫,郝国生,郭一楠,孙晓燕.交互式遗传算法基于NN 的个体适应度分阶段估计[J].控制与决策,2005,20(2):234-236. |
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| 作者姓名： | 周 勇 巩敦卫 郝国生 郭一楠 孙晓燕 |
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| 作者单位： | 中国矿业大学,信息与电气工程学院,江苏,徐州,221008 |
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| 基金项目： | 国家自然科学基金项目(60304016). |
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| 摘 要： | 针对交互式遗传算法中人的疲劳问题，提出一种基于神经网络(NN)的个体适应度分阶段估计方法，给出了神经网络估计进化个体适应度与人的评价之问的转换策略以及神经网络学习效果的评价指标，并分析了算法的复杂性．实例结果验证了该方法的有效性。
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| 关 键 词： | 交互式遗传算法 神经网络 适应度 |
| 文章编号： | 1001-0920(2005)02-0234-03 |
Neural network based phase estimation of individual fitness in interactive genetic algorithm |
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| ZHOU Yong,GONG Dun-wei,HAO Guo-sheng,GUO Yi-nan,SUN Xiao-yan.Neural network based phase estimation of individual fitness in interactive genetic algorithm[J].Control and Decision,2005,20(2):234-236. |
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| Authors: | ZHOU Yong GONG Dun-wei HAO Guo-sheng GUO Yi-nan SUN Xiao-yan |
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| Abstract: | To the problem of human fatigue in interactive genetic algorithm, a neural network based phase estimation of individual fitness is proposed. Turning strategy between neural network estimate based individual fitness and (human) evaluation based individual fitness is given. The performance index on learning effect of neural network is (also) presented. The complexity of the algorithm is analyzed. The instance results show its validity. |
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| Keywords: | interactive genetic algorithm neural network fitness |
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