| 区间适应值交互式遗传算法神经网络代理模型 |
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| 引用本文： | 巩敦卫,任洁,孙晓燕.区间适应值交互式遗传算法神经网络代理模型[J].控制与决策,2009,24(10). |
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| 作者姓名： | 巩敦卫 任洁 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(60775044);;教育部“新世纪优秀人才支持计划”项目(NCET-07-0802) |
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| 摘 要： | 为了解决交互式遗传算法的用户疲劳问题，提出区间适应值交互式遗传算法神经网络代理模型．首先，对用户已评价个体的基因型及其适应值进行采样以训练神经网络，使其逼近区间适应值的上下限；然后，利用神经网络代理模型，评价后续的部分进化个体，并不断更新训练数据和代理模型，以保证逼近精度；最后，对算法性能进行了定量分析，并将其应用于服装进化设计系统．分析结果表明，所提算法在减轻用户疲劳的前提下，具有更多找到满意解的机会．
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| 关 键 词： | 遗传算法 交互 区间适应值 神经网络 代理模型 |
| 收稿时间： | 2008-11-15 |
| 修稿时间： | 2009-1-7 |
Neural network surrogate models of interactive genetic algorithms with individual's interval fitness |
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| GONG Dun-wei,REN Jie,SUN Xiao-yan.Neural network surrogate models of interactive genetic algorithms with individual's interval fitness[J].Control and Decision,2009,24(10). |
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| Authors: | GONG Dun-wei REN Jie SUN Xiao-yan |
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| Affiliation: | School of Information and Electrical Engineering;China University of Mining and Technology;Xuzhou 221008;China |
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| Abstract: | This paper presents a neural network surrogate model of interactive genetic algorithms with an individual's interval fitness in order to solve the problem of user fatigue.The genotype and the fitness of individuals evaluated by the user are sampled to train a neural network to approximate the upper limit and the lower limit of an individual's interval fitness.The trained surrogate model is applied to evaluate individuals in the subsequent evolutions.The training data and the surrogate model are continuously... |
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| Keywords: | Genetic algorithms Interaction Interval fitness Neural network Surrogate model |
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