| 自适应遗传算法 |
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| 引用本文： | 朱彦廷.自适应遗传算法[J].重庆三峡学院学报,2014(3):41-44. |
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| 作者姓名： | 朱彦廷 |
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| 作者单位： | 广西现代职业技术学院计算机系,广西河池547000 |
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| 摘 要： | 自适应遗传算法采用自适应的适应度函数、交叉概率及变异概率代替固定的适应度函数、交叉概率及变异概率,与基本遗传算法相比,结果证明改进的遗传算法显著提高了收敛性能,并且具有很强的自适应能力.
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| 关 键 词： | 遗传算法 适应度函数 交叉概率 变异概率 |
Self-adjustable Genetic Algorithm |
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| ZHU Yanting.Self-adjustable Genetic Algorithm[J].JOurnal of Chongqing Three Gorges University,2014(3):41-44. |
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| Authors: | ZHU Yanting |
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| Institution: | ZHU Yanting (Department of Computer Engineering, Guangxi Modern Polytechnic College, Hechi, Guangxi 547000,China) |
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| Abstract: | A new genetic algorithm is improved by using adaptive illness function, crossover probability and mutation probability instead of fixed illness function, crossover probability and mutation probability. The comparison between it and standard genetic algorithm experiments shows that it has significantly improved the convergent performance and has very strong self-adjusting ability. |
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| Keywords: | genetic algorithm fitness function crossover probability mutation probability |
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