| 遗传算法计算效率的改进 |
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| 引用本文： | 周克民,胡云昌.遗传算法计算效率的改进[J].控制理论与应用,2002,19(5):812-814. |
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| 作者姓名： | 周克民 胡云昌 |
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| 作者单位： | 天津大学,建筑工程学院,天津,300072 |
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| 摘 要： | 根据适应值的分布, 采用缩小、移动搜索区间的方法, 将整体和局部寻优能力有机地结合起来, 明显地提高了遗传算法的收敛速度和解的精度. 本文提出的方法对大范围、高精度寻优尤其适合. 最后以连续函数为例, 说明了算法的有效性.
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| 关 键 词： | 遗传算法 计算效率 变搜索区间 连续函数优化 |
| 文章编号： | 1000-8152(2002)05-0812-03 |
| 收稿时间： | 2000/9/25 0:00:00 |
| 修稿时间： | 2000年9月25日 |
Improvement of computational efficiency for genetic algorithms |
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| ZHOU Ke-min and HU Yun-chang.Improvement of computational efficiency for genetic algorithms[J].Control Theory & Applications,2002,19(5):812-814. |
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| Authors: | ZHOU Ke-min and HU Yun-chang |
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| Affiliation: | Civil and Building Engineering School,Tianjin University,Tianjin 300072,China;Civil and Building Engineering School,Tianjin University,Tianjin 300072,China |
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| Abstract: | According to the distribution of fitness, the region of the search space is decreased and moved. By combining the ability of global optimization and local search, the convergence speed and the precision of solution are improved. It is rather better when optimizing solution with high precision is searched in large region. The effectiveness of the proposed method is demonstrated by optimizing several continuous functions. |
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| Keywords: | genetic algorithm computational efficiency variable search space continuous function optimization |
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