| 模糊自适应遗传算法 |
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| 引用本文： | 张大斌,王婧,刘桂琴,朱侯.模糊自适应遗传算法[J].计算机工程与设计,2008,29(18). |
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| 作者姓名： | 张大斌 王婧 刘桂琴 朱侯 |
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| 作者单位： | 华中师范大学,信息管理系,湖北,武汉,430079 |
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| 摘 要： | 针对标准遗传算法在实际应用中存在的早熟问题,设计了标准遗传算法的一种改进形式--模糊自适应遗传算法.该算法是利用种群的方差和熵来衡量种群多样性,并根据每代种群的方差和熵设计模糊推理系统来自适应控制交叉概率和变异概率.通过多峰函数优化问题的仿真实验,表明了该模糊自适应遗传算法的可行性和有效性.
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| 关 键 词： | 模糊推理系统 模糊遗传算法 自适应 熵 遗传算法 |
Fuzzy adaptive genetic algorithm |
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| ZHANG Da-bin,WANG Jing,LIU Gui-qin,ZHU Hou.Fuzzy adaptive genetic algorithm[J].Computer Engineering and Design,2008,29(18). |
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| Authors: | ZHANG Da-bin WANG Jing LIU Gui-qin ZHU Hou |
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| Affiliation: | ZHANG Da-bin,WANG Jing,LIU Gui-qin,ZHU Hou(Department of Information Management,Huazhong Normal University,Wuhan 430079,China) |
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| Abstract: | An improved form of normal genetic algorithm: Fuzzy adaptive genetic algorithm is designed.It is aiming at the premature problem that existed in the actual application of normal genetic algorithm.It used the population variance and entropy to measure the di-versity of population,and in accordance with the each population of variance and entropy to design the fuzzy reasoning system for adaptive the controlled cross probability and mutation probability.The feasibility and effectiveness of the fuzzy self-adapt... |
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| Keywords: | fuzzy reasoning system fuzzy genetic algorithm adaptive entropy genetic algorithm |
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